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International Journal of Electrical and Computer Engineering (IJECE)
Vol. 7, No. 2, April 2017, pp. 791~798
ISSN: 2088-8708, DOI: 10.11591/ijece.v7i2.pp791-798  791
Journal homepage: http://iaesjournal.com/online/index.php/IJECE
Development of Compact P-Band Vector Reflectometer
Yi Lung Then1
, Kok Yeow You2
, Ming Hao Lee3
, Chia Yew Lee4
1
Electrical and Electronic Engineering Department, Faculty of Engineering, Computing and Science, Swinburne
University of Technology, Sarawak Campus, 93350 Kuching, Malaysia
2,3,4
Communication Engineering Department, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81300
UTM Skudai, Malaysia
Article Info ABSTRACT
Article history:
Received Aug 9, 2016
Revised Mar 18, 2017
Accepted Mar 30, 2017
A compact and low cost portable vector reflectometer is designed for a
reliable measurement of reflection coefficient, S11. This reflectometer focuses
on return loss measurement of frequency ranges from 450 MHz to 550 MHz.
The detection of magnitude and phase is based on the utilization of surface
mount Analog Devices AD8302 gain/phase detector. The data acquisition is
controlled by using Arduino-Nano 3.0 microcontroller, with the use of two
analog to digital converter (ADC) and a digital to analog converter (DAC).
One port (Open, short and matched load) calibration technique is used to
eliminate systematic errors prior to data acquisition. The evaluation of the
reflectometer is done by comparing the result of the measurement to that of
vector network analyzer.
Keyword:
One port calibration
P-band
Reflection coefficient
Surface mount device (SMD)
Vector reflectometer Copyright © 2017 Institute of Advanced Engineering and Science.
All rights reserved.
Corresponding Author:
Kok Yeow You,
Communication Engineering Department,
Faculty of Electrical Engineering,
Universiti Teknologi Malaysia, 81300 UTM Skudai, Malaysia.
Email: kyyou@fke.utm.my
1. INTRODUCTION
The demand for analysis and measurement equipment for microwave device is rather promising due
to the rapid development of communication devices. Existing equipment for measuring parameters,
specifically the S-parameters in high frequency circuits or radio frequency (RF) devices, such as network
analyzers are too costly and bulky to be portable for handheld measurement purposes. As an alternative to
this matter, a more compact and low cost reflectometer is developed for reliable measurement of reflection
coefficient, S11 or so-called return loss.
Reflection coefficient is the complex ratio of reflected voltage, Vr to incident voltage Vi, from which
the operating frequency and response of a device under test (DUT) over a range of frequency is determined.
In other words, reflectometer measures how much power is reflected from the DUT with reference to the
incident power.
Some of the earlier researches were on the development of six-ports vector reflectometers for
industrial purposes covering frequency from 2.2 GHz to 2.7 GHz, especially for determining operating
frequency of microwave device and assist in impedance matching [1]. The six-port reflectometer obtained
phase reading by deducing from the power measurement readings at several ports based on the idea of phase-
shift interferometry. However, there are some of crucial issues with six-port reflectometer, such as
complicated calibration and requirement of complex computation to obtain the actual measurement.
Therefore, some modifications are implemented by simplifying the complexity of circuit to fewer ports,
which lead to four-port reflectometer which utilizes a single detector [2] and able to operate in both reflection
and transmission modes.
 ISSN:2088-8708
IJECE Vol. 7, No. 2, April 2017 : 791–798
792
After that, research continued for the design of reflectometer applicable for higher frequency, at
millimeter wave up to 100 GHz [3] due to the fact that not many existing network analyzers at that time are
capable of measurement up to such a high frequency. Recent works show an increase interest on researches
on design of reflectometers for specific applications. Some of the applications include aqueous concentration
measurement [4], moisture monitoring of building [5] and soil quality processing [6]. At the same time,
computer interfaces and LCD displays are implemented together with the reflectometer system to ease data
analysis and interpretation [7-9]. Surface mounted device (SMD) are started to be implemented in the design
of reflectometer especially for industrial, scientific and medical (ISM) band applications [8-9]. Another
highlight is self-calibrating reflectometer system introduced to obtain more consistent and accurate
measurement without the need for manual calibration [5].
This paper proposed a compact single port reflectometer with only one output port for DUT and one
detector for magnitude and phase measurement. The reflectometer utilizes surface mounted integrated circuit
AD8302 for the detection of magnitude and phase of the reflection coefficient. Frequency range for this
reflectometer is from 450 MHz to 550 MHz. A microcontroller Arduino Nano 3.0 controls the analog to
digital converters (ADC) and digital to analog converter (DAC) for data acquisition. Hardware
implementation for this project involves fabrication of reflectometer prototype by assembling voltage
controlled oscillator, bidirectional coupler and detector. Two ADC and a DAC are fabricated to enable
controlling by using microcontroller, followed by fabrication of main board for the microcontroller and its
peripherals. Software implementation includes programming of microcontroller to obtain measurement
result.
2. SINGLE PORT REFLECTOMETER
The design of the reflectometer is done by utilizing a voltage controlled oscillator (VCO), a
bidirectional coupler and an AD8302 gain/phase detector. The VCO is capable of generating signals with
frequency ranges from 450 MHz to 550 MHz, by supplying tuning voltage from 0.5V to 5.0V. The
bidirectional coupler operates with low mainline loss of 0.02 dB under normal conditions and a maximum of
0.2dB in worst case. AD8302 enables detection of both magnitude and phase at the same time, with scaling
slope of 28.7mV/dB and 10.1mV/Degree respectively [10].
The expression of the magnitude output voltage and phase output voltage in ideal cases are shown in
Equation (1) and Equation (2) respectively.
 INBINASLPmag VVVV /log (1)
    INBINAPHS VVVV   (2)
where VSLP is the slope of voltage to magnitude, VΦ is the slope of voltage to phase, VINB is the incident
voltage and VINA is the reflected voltage [10].
The tuning voltage of the VCO is controlled by the microcontroller Arduino Nano 3.0 with the aid
of a DAC. The magnitude and phase voltages detected by AD8302 are input to the microcontroller through
ADCs for analysis. In this project, 24-bit resolution LT2440 is used as ADC and 1024-position AD5292 is
used as DAC to obtain precise measurement. The data transfer between the microcontroller with DAC and
ADCs is achieved by using master in slave out (MISO) and master out slave in (MOSI) ports within the serial
peripheral interface (SPI) of Arduino. The prototype of the fabricated reflectometer is illustrated in the block
diagram in Figure 1.
During measurement of reflection coefficient using the prototype, microcontroller will apply a
tuning voltage to the VCO through DAC so as to generate signal with a certain frequency. The incident
voltage of the generated signal, Vi will have a portion of it coupled to the detector through bidirectional
coupler, while the rest of it will be guided to the DUT. Some of the signal will be transmitted and propagated
at the DUT whereas some will be reflected back to the port, according to the performance of the DUT. The
reflected signal, Vr will be coupled to the detector through bidirectional coupler. At AD8302 gain/phase
detector, the output voltages proportional to the ratio of the reflected voltage to incident voltage in decibels,
VMAG as well as the phase difference, VPHS will be generated based on the incident and reflected voltages
input. The output voltages VMAG and VPHS are then input to the microcontroller through two individual ADCs
via SPI interface of the Arduino microcontroller. The process of data acquisition is controlled by computer
USB interface using microcontroller.
IJECE ISSN: 2088-8708 
Development of Compact P-Band Vector Reflectometer (Yi Lung Then)
793
Figure 1. Block diagram of the fabricated reflectometer prototype
In this project, VINA is used as incident voltage and VINB is used as reflected voltage. Therefore, the
magnitude of reflection coefficient can be derived from Equation (1) as shown in Equation (3).
| | (3)
However, due to the limitation of the detector, the phase values detected are in the form of absolute
phase, without positive or negative sign. The absolute phase was calculated using Equation (4).
| | (4)
Therefore, in order to determine the sign of the measured phase, an algorithm is required to be
implemented in MATLAB. In that algorithm, the phase of next frequency was compared with the phase of
current frequency as shown in the program code below.
for n=1:1:sample-1
if (phaseact(n+1)-phaseact(n))>=0
M_prePhase3(n,1)=-phaseact(n);
else (phaseact(n+1)-phaseact(n))<0
M_prePhase3(n,1)=phaseact(n);
end
end
If the phase of the next frequency is greater than the current frequency, the sign of negative phase
will be assigned. On the other hand, if the phase of the next frequency is smaller than the current frequency,
the sign of positive phase will be assigned. Figure 2 shows the fabricated single port reflectometer.
Figure 2. The fabricated single port reflectometer
 ISSN:2088-8708
IJECE Vol. 7, No. 2, April 2017 : 791–798
794
Figure 3 shows the reflectometer system which include microcontroller, ADC and DAC.
Figure 3. The reflectometer system which include microcontroller, ADC and DAC
3. ONE PORT (OPEN, SHORT AND LOAD) CALIBRATION
The reflection coefficient measured at the DUT port without calibration may not be accurate as it
takes all the reflections in the system and the components into account [12]. Therefore, in order to obtain
accurate reflection coefficient considering the DUT solely, calibration is essential to eliminate or minimize
systematic errors due to the components of the reflectometer. One port calibration is done by taking the
reflection coefficient measurement of three known standards, namely open, short and matched load (OSL),
and then obtains three correction factors for the calculation of the actual reflection coefficient.
OSL calibration standard is the most common standard for one port measurement. In order to
achieve precise measurement through calibration, the three open, short and matched (50Ω) load, are
connected to the DUT port progressively and the respective measurements of reflection coefficient are
recorded. After that, the known actual values of reflection coefficient for the three standards are used in the
calculation of the three correction factors as shown in Equation (6). The actual reflection coefficient, ΓA is
expressed in terms of measured reflection coefficient, ΓM as shown in Equation (5) below.
AC
B
M
M
A


 (5)
where ΓA is the actual reflection coefficient, ΓM is the measured reflection coefficient, while A, B and C are
the three correction factors.
Equation (5) can be expanded into the form of:
MMAA CBA  (6)
The three correction factors are determined by solving the matrix of OSL standards as shown in
Equation (11).
MOMOAOAO CBA  (7)
MSMSASAS CBA  (8)
MLMLALAL CBA  (9)





































ML
MS
MO
MLALAL
MSASAS
MOAOAO
C
B
A
1
1
1
(10)
IJECE ISSN: 2088-8708 
Development of Compact P-Band Vector Reflectometer (Yi Lung Then)
795






































ML
MS
MO
MLALAL
MSASAS
MOAOAO
C
B
A
1
1
1
1
(11)
After the values of the three correction factors are found, they are substituted into Equation (5) in
order to calculate for the actual value of the reflection coefficient for a given measured value.
According to literatures [7, 12], the actual value of reflection coefficients for open, short and
matched loads were assumed to be ideal in the calculation as shown in Table 1. However, in real case, the
loads of the three standards were not ideal as claimed, where ΓAO=1+j0, ΓAS=-1+j0, ΓAL=0+j0. In order to
obtain a precise value of actual reflection coefficient of DUT, the actual values of the three OSL standards
need to be obtained by measuring using VNA. Curve fitting was done to the new actual values, and then they
were used as the actual reflection coefficient of OSL to calculate the actual reflection coefficient of DUT.
Table 1. Actual value of reflection coefficients for known OSL standards
Type of Load Magnitude, |Γ| Phase, Φ
Open 1 0o
Short 1 ±180o
Matched 50Ω 0 Arbitrary
4. RESULTS AND ANALYSIS
4.1. Measurement of Reflection Coefficient Magnitude
Calibration was done prior to data acquisition. A set of measurements have been taken for the
reflection coefficient magnitude and phase of DUT using the reflectometer prototype. The responses of
measurement obtained using reflectometer were compared to the measurement using vector network
analyzer. The magnitude and phase of reflection coefficient measured using the two devices were plotted and
shown in Figure 4 and Figure 6 respectively.
Based on the MATLAB plot as illustrated in Figure 4, it was found that the magnitude measurement
after calibration was only acceptable for certain range of frequency, specifically from 490 MHz to 550 MHz.
This was due to the reason that the measurement dropped to lower than -10 dB for frequency below 490
MHz. There were too many variables which may lead to the partial faulty measurement. Several possible
factors in causing the issue are incorrect design of transmission line, imperfect OSL loads, surrounding noise,
thermal noise and weak detected signals. However, the main factor was believed to be incorrectly designed
transmission line at the two bi-directional couplers as shown in Figure 5.
Figure 4. Comparison of measured reflection
coefficient magnitude using reflectometer prototype and
vector network analyzer
Figure 5. Possible source of errors due to incorrect
design of transmission line length
 ISSN:2088-8708
IJECE Vol. 7, No. 2, April 2017 : 791–798
796
The circled portion of the reflectometer in yellow box as shown in Figure 5 was believed to be the
main reason of errors in the data obtained for OSL loads and DUT. As a matter of fact, the phase difference
between input A with input B to the detector has to be 180o
in order for optimum measurement.
Unfortunately, based on the datasheet of the bi-directional couplers, there was no information regarding the
phase difference of the input/output ports and forward/reverse coupled ports. Therefore, the transmission line
connecting output of bi-directional coupler 1 to input of bi-directional coupler 2 could induce a certain phase
shift which was hardly determined [13]. In order to ensure the condition of 180o
as stated previously to be
met, the electrical length of the part of transmission line between the two bi-directional couplers have to be
designed so that the phase difference of input A with input B to the detector is 180o
[14]. However, this is just
a speculation as the remaining time did not allow more alternatives to be implemented to correct the flaws.
More future works were required to justify the hypothesis and improvements were required to obtain a better
measurement.
In the range of applicable measurement, from 490 MHz to 550 MHz, it was found that the measured
response correlates with the VNA measurement, with some error and fluctuations. The maximum deviation
from the VNA measurement was recorded as 5.95dB for the applicable frequency range. It was suspected
that these errors were due to the erroneous measured readings of reflection coefficient for the OSL loads,
which in turn, caused by the incorrectly designed transmission line as discussed previously.
4.2. Measurement of Reflection Coefficient Phase
By referring to the phase response plot in Figure 6, it was found that the measured phase difference
of the DUT correlates well with the VNA measurement throughout the frequency range of 450 MHz to 550
MHz, with minor fluctuations and errors in the acceptable range. The maximum error of measured phase was
found to be 35o
, with a significant improvement compared to measurement before calibration. It was believed
that the transmission line design issue stated previously had certain impact on the phase measurement result.
Apart from that, the magnitude and phase measurement of reflection coefficient before and after
calibration were determined and summarized in Table 2 below. It was noticed that there was a slight rise in
the maximum error from 3.18 dB to 5.95 dB for magnitude after calibration, but with significant
improvement in the maximum phase error, which dropped from 171.57o
to 35o
.
The measurement of magnitude was acceptable for frequency of 490 MHz onwards to 550 MHz, but
not for below 490 MHz. However, the phase response was considered as relatively precise as it correlates
well with the VNA measurement.
Figure 6. Comparison of measured reflection coefficient phase using reflectometer prototype and vector
network analyzer
Table 2. Comparison of maximum magnitude and phase error before and after calibration
Error Before Calibration After Calibration
Maximum magnitude error 3.18 dB 5.95 dB
Maximum phase error 171.57o
35.00o
IJECE ISSN: 2088-8708 
Development of Compact P-Band Vector Reflectometer (Yi Lung Then)
797
5. CONCLUSION
To conclude, a complete reflectometer prototype system is developed and implemented in terms of
hardware and software. Based on the comparison of the measurement obtained using the reflectometer
prototype with the measurement using Agilent E5071C VNA, the results show good correlations between the
two sets of measurements in general, especially in the phase measurement. However, there are concerns on
the measurement error for magnitude below frequency of 490MHz, where the readings fall below the
expected precision level. Primary inspection has been done and hypothetically, it is inferred that the issue is
due to some flaw in the design of transmission line connecting the two bi-directional couplers. Unfortunately,
the limitation of time does not allow more corrections or improvement to be implemented in order to obtain
more precise measurement. Therefore, future works are required to justify the flaw so as to enhance the
precision of measurement. In general, the objectives of this project are achieved.
ACKNOWLEDGEMENTS
This study was supported by a Research University Grant (GUP) from Universiti Teknologi
Malaysia under project number Q.J130000.2523.04H77 and the Ministry of Higher Education of Malaysia
(MOHE).
REFERENCES
[1] V. Bilik, et al., "Vector Reflectometer System for Industrial Applications", 24th
European Microwave Conference,
pp. 1010-1015, Sept 1994.
[2] S.A. Chahine, et al., "A Low Cost Efficient Reflectometer", in Radio Science Conference, 2004. NRSC 2004.
Proceedings of the Twenty-First National, 2004, pp. A1-1-5.
[3] G. Kamitani, et al., "Low Cost Millimeter-Wave Vector Reflectometer", in Microwave Conference Proceedings,
2005. APMC 2005. Asia-Pacific Conference Proceedings, 2005, pp. 1-4.
[4] M. Hofmann, et al., "A Microwave Sensing System for Aqueous Concentration Measurement Based On A
Microwave Reflectometer", in Microwave Symposium Digest (MTT), 2012. IEEE MTT-S International, 2012,
pp. 1-3.
[5] T. Sokoll, et al., "A Self-Calibrating Low-Cost Sensor System for Moisture Monitoring of Buildings", in Microwave
Symposium Digest, 2006. IEEE MTT-S International, 2006, pp. 1584-1587.
[6] Y.L. Then, et al., "Soil Moisture Dielectric Measurement Using Microwave Sensor System", International
Symposium on Antennas and Propagation (ISAP), 2014, pp. 97-98.
[7] J.T. Nagy, “Remotely Operated Reflectometer”, Bachelors Degree of Science in Electrical Engineering,
Undergraduate Colleges, The Ohio State University, Ohio, 2013.
[8] M. Krok, et al., "A Low-Cost PC Controlled System for Measurement of Vector Reflection Coefficient in ISM
Band", International Symposium on Microwaves, Radar & Wireless Communications (MIKON), 2006, pp. 33-36.
[9] A. Was, et al., "Low-Cost Handheld Multiprobe Reflectometer for the ISM Band", 17th
International Symposium on
Microwaves, Radar & Wireless Communications (MIKON), 2008, pp. 1-4.
[10] Analog Devices, “AD8302 RF/IF Gain and Phase Detector”, Massachusetts: Analog Devices Inc, 2002.
[11] K.Y. You, et al., "Precise Moisture Monitoring for Various Soil Types Using Handheld Microwave-Sensor Meter",
IEEE Sensors Journal, vol. 13, pp. 2563-2570, March 2013.
[12] K.Y. You, et al., "Simple Calibration and Dielectric Measurement Technique for Thin Material Using Coaxial
Probe", IEEE Sensors Journal, vol. 15, pp. 5393-5397, Oct 2015.
[13] Y.L. Then, et al., "Compact Microstrip S-Band 90° Hybrid Coupler", IEEE Symposium on Wireless Technology
and Applications (ISWTA), 2013, pp. 202-206.
[14] C.Y. Lee, et al., “Enhanced Five-Port Ring Circuit Reflectometer for Synthetic Breast Tissue Dielectric
Determination”, Progress In Electromagnetics Research C, vol. 69, pp. 83-95, 2016.
BIOGRAPHIES OF AUTHORS
Yi Lung Then was born in Kuching, Malaysia in 1988. He received both his bachelor degree
and Ph.D. in electrical engineering from Universiti Teknologi Malaysia (UTM), Skudai,
Malaysia. He is currently a lecturer in Faculty of Engineering, Computing and Science,
Swinburne University of Technology (SUTS), based in Sarawak, Malaysia. His research
interests include RF and microwave engineering, passive microwave components design and
fabrication, antenna design and fabrication, and microwave sensors and reflectometer for modern
agriculture.
 ISSN:2088-8708
IJECE Vol. 7, No. 2, April 2017 : 791–798
798
Kok Yeow You was born in 1977. Hereceived the B.Sc. degree in physics (Hons.) from
Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia, in 2001, the M.Sc. degree in
microwave from the Faculty of Science in 2003, and the Ph.D.degree in wave propagation from
the Institute for Mathematical Research, Universiti Putra Malaysia (UPM), Serdang, Selangor,
Malaysia, in 2006. He is currently a Senior Lecturer with the Communication Engineering
Department, Faculty of Electrical Engineering, Universiti Teknologi Malaysia (UTM), Skudai,
Malaysia. His current research interests include theory, simulation, and instrumentation of
electromagnetic wave propagation at microwave frequencies focusing on the development of
microwave sensors for agricultural applications.
Ming Hao Lee was born in Ipoh, Malaysia in 1990. He received the B. Eng. degree in electrical
- telecommunications engineering (Hons.) from Universiti Teknologi Malaysia (UTM) Skudai,
Malaysia, in 2014. He is currently a wireless product engineer in Network Design and Bidding
Department, Huawei Technologies (Malaysia) Sdn Bhd. He currently works on the wireless
network design for GSM, UMTS, LTE projects for network operators and service providers in
Malaysia.
Chia Yew Lee was born in 1988. He received the bachelor’s degree in electrical engineering
(computer) from Universiti Teknologi Malaysia, Skudai, Malaysia in 2012. He involved in
research on biomedical sensor designs for his Ph.D. degree in biomedical engineering.

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Development of Compact P-Band Vector Reflectometer

  • 1. International Journal of Electrical and Computer Engineering (IJECE) Vol. 7, No. 2, April 2017, pp. 791~798 ISSN: 2088-8708, DOI: 10.11591/ijece.v7i2.pp791-798  791 Journal homepage: http://iaesjournal.com/online/index.php/IJECE Development of Compact P-Band Vector Reflectometer Yi Lung Then1 , Kok Yeow You2 , Ming Hao Lee3 , Chia Yew Lee4 1 Electrical and Electronic Engineering Department, Faculty of Engineering, Computing and Science, Swinburne University of Technology, Sarawak Campus, 93350 Kuching, Malaysia 2,3,4 Communication Engineering Department, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81300 UTM Skudai, Malaysia Article Info ABSTRACT Article history: Received Aug 9, 2016 Revised Mar 18, 2017 Accepted Mar 30, 2017 A compact and low cost portable vector reflectometer is designed for a reliable measurement of reflection coefficient, S11. This reflectometer focuses on return loss measurement of frequency ranges from 450 MHz to 550 MHz. The detection of magnitude and phase is based on the utilization of surface mount Analog Devices AD8302 gain/phase detector. The data acquisition is controlled by using Arduino-Nano 3.0 microcontroller, with the use of two analog to digital converter (ADC) and a digital to analog converter (DAC). One port (Open, short and matched load) calibration technique is used to eliminate systematic errors prior to data acquisition. The evaluation of the reflectometer is done by comparing the result of the measurement to that of vector network analyzer. Keyword: One port calibration P-band Reflection coefficient Surface mount device (SMD) Vector reflectometer Copyright © 2017 Institute of Advanced Engineering and Science. All rights reserved. Corresponding Author: Kok Yeow You, Communication Engineering Department, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81300 UTM Skudai, Malaysia. Email: kyyou@fke.utm.my 1. INTRODUCTION The demand for analysis and measurement equipment for microwave device is rather promising due to the rapid development of communication devices. Existing equipment for measuring parameters, specifically the S-parameters in high frequency circuits or radio frequency (RF) devices, such as network analyzers are too costly and bulky to be portable for handheld measurement purposes. As an alternative to this matter, a more compact and low cost reflectometer is developed for reliable measurement of reflection coefficient, S11 or so-called return loss. Reflection coefficient is the complex ratio of reflected voltage, Vr to incident voltage Vi, from which the operating frequency and response of a device under test (DUT) over a range of frequency is determined. In other words, reflectometer measures how much power is reflected from the DUT with reference to the incident power. Some of the earlier researches were on the development of six-ports vector reflectometers for industrial purposes covering frequency from 2.2 GHz to 2.7 GHz, especially for determining operating frequency of microwave device and assist in impedance matching [1]. The six-port reflectometer obtained phase reading by deducing from the power measurement readings at several ports based on the idea of phase- shift interferometry. However, there are some of crucial issues with six-port reflectometer, such as complicated calibration and requirement of complex computation to obtain the actual measurement. Therefore, some modifications are implemented by simplifying the complexity of circuit to fewer ports, which lead to four-port reflectometer which utilizes a single detector [2] and able to operate in both reflection and transmission modes.
  • 2.  ISSN:2088-8708 IJECE Vol. 7, No. 2, April 2017 : 791–798 792 After that, research continued for the design of reflectometer applicable for higher frequency, at millimeter wave up to 100 GHz [3] due to the fact that not many existing network analyzers at that time are capable of measurement up to such a high frequency. Recent works show an increase interest on researches on design of reflectometers for specific applications. Some of the applications include aqueous concentration measurement [4], moisture monitoring of building [5] and soil quality processing [6]. At the same time, computer interfaces and LCD displays are implemented together with the reflectometer system to ease data analysis and interpretation [7-9]. Surface mounted device (SMD) are started to be implemented in the design of reflectometer especially for industrial, scientific and medical (ISM) band applications [8-9]. Another highlight is self-calibrating reflectometer system introduced to obtain more consistent and accurate measurement without the need for manual calibration [5]. This paper proposed a compact single port reflectometer with only one output port for DUT and one detector for magnitude and phase measurement. The reflectometer utilizes surface mounted integrated circuit AD8302 for the detection of magnitude and phase of the reflection coefficient. Frequency range for this reflectometer is from 450 MHz to 550 MHz. A microcontroller Arduino Nano 3.0 controls the analog to digital converters (ADC) and digital to analog converter (DAC) for data acquisition. Hardware implementation for this project involves fabrication of reflectometer prototype by assembling voltage controlled oscillator, bidirectional coupler and detector. Two ADC and a DAC are fabricated to enable controlling by using microcontroller, followed by fabrication of main board for the microcontroller and its peripherals. Software implementation includes programming of microcontroller to obtain measurement result. 2. SINGLE PORT REFLECTOMETER The design of the reflectometer is done by utilizing a voltage controlled oscillator (VCO), a bidirectional coupler and an AD8302 gain/phase detector. The VCO is capable of generating signals with frequency ranges from 450 MHz to 550 MHz, by supplying tuning voltage from 0.5V to 5.0V. The bidirectional coupler operates with low mainline loss of 0.02 dB under normal conditions and a maximum of 0.2dB in worst case. AD8302 enables detection of both magnitude and phase at the same time, with scaling slope of 28.7mV/dB and 10.1mV/Degree respectively [10]. The expression of the magnitude output voltage and phase output voltage in ideal cases are shown in Equation (1) and Equation (2) respectively.  INBINASLPmag VVVV /log (1)     INBINAPHS VVVV   (2) where VSLP is the slope of voltage to magnitude, VΦ is the slope of voltage to phase, VINB is the incident voltage and VINA is the reflected voltage [10]. The tuning voltage of the VCO is controlled by the microcontroller Arduino Nano 3.0 with the aid of a DAC. The magnitude and phase voltages detected by AD8302 are input to the microcontroller through ADCs for analysis. In this project, 24-bit resolution LT2440 is used as ADC and 1024-position AD5292 is used as DAC to obtain precise measurement. The data transfer between the microcontroller with DAC and ADCs is achieved by using master in slave out (MISO) and master out slave in (MOSI) ports within the serial peripheral interface (SPI) of Arduino. The prototype of the fabricated reflectometer is illustrated in the block diagram in Figure 1. During measurement of reflection coefficient using the prototype, microcontroller will apply a tuning voltage to the VCO through DAC so as to generate signal with a certain frequency. The incident voltage of the generated signal, Vi will have a portion of it coupled to the detector through bidirectional coupler, while the rest of it will be guided to the DUT. Some of the signal will be transmitted and propagated at the DUT whereas some will be reflected back to the port, according to the performance of the DUT. The reflected signal, Vr will be coupled to the detector through bidirectional coupler. At AD8302 gain/phase detector, the output voltages proportional to the ratio of the reflected voltage to incident voltage in decibels, VMAG as well as the phase difference, VPHS will be generated based on the incident and reflected voltages input. The output voltages VMAG and VPHS are then input to the microcontroller through two individual ADCs via SPI interface of the Arduino microcontroller. The process of data acquisition is controlled by computer USB interface using microcontroller.
  • 3. IJECE ISSN: 2088-8708  Development of Compact P-Band Vector Reflectometer (Yi Lung Then) 793 Figure 1. Block diagram of the fabricated reflectometer prototype In this project, VINA is used as incident voltage and VINB is used as reflected voltage. Therefore, the magnitude of reflection coefficient can be derived from Equation (1) as shown in Equation (3). | | (3) However, due to the limitation of the detector, the phase values detected are in the form of absolute phase, without positive or negative sign. The absolute phase was calculated using Equation (4). | | (4) Therefore, in order to determine the sign of the measured phase, an algorithm is required to be implemented in MATLAB. In that algorithm, the phase of next frequency was compared with the phase of current frequency as shown in the program code below. for n=1:1:sample-1 if (phaseact(n+1)-phaseact(n))>=0 M_prePhase3(n,1)=-phaseact(n); else (phaseact(n+1)-phaseact(n))<0 M_prePhase3(n,1)=phaseact(n); end end If the phase of the next frequency is greater than the current frequency, the sign of negative phase will be assigned. On the other hand, if the phase of the next frequency is smaller than the current frequency, the sign of positive phase will be assigned. Figure 2 shows the fabricated single port reflectometer. Figure 2. The fabricated single port reflectometer
  • 4.  ISSN:2088-8708 IJECE Vol. 7, No. 2, April 2017 : 791–798 794 Figure 3 shows the reflectometer system which include microcontroller, ADC and DAC. Figure 3. The reflectometer system which include microcontroller, ADC and DAC 3. ONE PORT (OPEN, SHORT AND LOAD) CALIBRATION The reflection coefficient measured at the DUT port without calibration may not be accurate as it takes all the reflections in the system and the components into account [12]. Therefore, in order to obtain accurate reflection coefficient considering the DUT solely, calibration is essential to eliminate or minimize systematic errors due to the components of the reflectometer. One port calibration is done by taking the reflection coefficient measurement of three known standards, namely open, short and matched load (OSL), and then obtains three correction factors for the calculation of the actual reflection coefficient. OSL calibration standard is the most common standard for one port measurement. In order to achieve precise measurement through calibration, the three open, short and matched (50Ω) load, are connected to the DUT port progressively and the respective measurements of reflection coefficient are recorded. After that, the known actual values of reflection coefficient for the three standards are used in the calculation of the three correction factors as shown in Equation (6). The actual reflection coefficient, ΓA is expressed in terms of measured reflection coefficient, ΓM as shown in Equation (5) below. AC B M M A    (5) where ΓA is the actual reflection coefficient, ΓM is the measured reflection coefficient, while A, B and C are the three correction factors. Equation (5) can be expanded into the form of: MMAA CBA  (6) The three correction factors are determined by solving the matrix of OSL standards as shown in Equation (11). MOMOAOAO CBA  (7) MSMSASAS CBA  (8) MLMLALAL CBA  (9)                                      ML MS MO MLALAL MSASAS MOAOAO C B A 1 1 1 (10)
  • 5. IJECE ISSN: 2088-8708  Development of Compact P-Band Vector Reflectometer (Yi Lung Then) 795                                       ML MS MO MLALAL MSASAS MOAOAO C B A 1 1 1 1 (11) After the values of the three correction factors are found, they are substituted into Equation (5) in order to calculate for the actual value of the reflection coefficient for a given measured value. According to literatures [7, 12], the actual value of reflection coefficients for open, short and matched loads were assumed to be ideal in the calculation as shown in Table 1. However, in real case, the loads of the three standards were not ideal as claimed, where ΓAO=1+j0, ΓAS=-1+j0, ΓAL=0+j0. In order to obtain a precise value of actual reflection coefficient of DUT, the actual values of the three OSL standards need to be obtained by measuring using VNA. Curve fitting was done to the new actual values, and then they were used as the actual reflection coefficient of OSL to calculate the actual reflection coefficient of DUT. Table 1. Actual value of reflection coefficients for known OSL standards Type of Load Magnitude, |Γ| Phase, Φ Open 1 0o Short 1 ±180o Matched 50Ω 0 Arbitrary 4. RESULTS AND ANALYSIS 4.1. Measurement of Reflection Coefficient Magnitude Calibration was done prior to data acquisition. A set of measurements have been taken for the reflection coefficient magnitude and phase of DUT using the reflectometer prototype. The responses of measurement obtained using reflectometer were compared to the measurement using vector network analyzer. The magnitude and phase of reflection coefficient measured using the two devices were plotted and shown in Figure 4 and Figure 6 respectively. Based on the MATLAB plot as illustrated in Figure 4, it was found that the magnitude measurement after calibration was only acceptable for certain range of frequency, specifically from 490 MHz to 550 MHz. This was due to the reason that the measurement dropped to lower than -10 dB for frequency below 490 MHz. There were too many variables which may lead to the partial faulty measurement. Several possible factors in causing the issue are incorrect design of transmission line, imperfect OSL loads, surrounding noise, thermal noise and weak detected signals. However, the main factor was believed to be incorrectly designed transmission line at the two bi-directional couplers as shown in Figure 5. Figure 4. Comparison of measured reflection coefficient magnitude using reflectometer prototype and vector network analyzer Figure 5. Possible source of errors due to incorrect design of transmission line length
  • 6.  ISSN:2088-8708 IJECE Vol. 7, No. 2, April 2017 : 791–798 796 The circled portion of the reflectometer in yellow box as shown in Figure 5 was believed to be the main reason of errors in the data obtained for OSL loads and DUT. As a matter of fact, the phase difference between input A with input B to the detector has to be 180o in order for optimum measurement. Unfortunately, based on the datasheet of the bi-directional couplers, there was no information regarding the phase difference of the input/output ports and forward/reverse coupled ports. Therefore, the transmission line connecting output of bi-directional coupler 1 to input of bi-directional coupler 2 could induce a certain phase shift which was hardly determined [13]. In order to ensure the condition of 180o as stated previously to be met, the electrical length of the part of transmission line between the two bi-directional couplers have to be designed so that the phase difference of input A with input B to the detector is 180o [14]. However, this is just a speculation as the remaining time did not allow more alternatives to be implemented to correct the flaws. More future works were required to justify the hypothesis and improvements were required to obtain a better measurement. In the range of applicable measurement, from 490 MHz to 550 MHz, it was found that the measured response correlates with the VNA measurement, with some error and fluctuations. The maximum deviation from the VNA measurement was recorded as 5.95dB for the applicable frequency range. It was suspected that these errors were due to the erroneous measured readings of reflection coefficient for the OSL loads, which in turn, caused by the incorrectly designed transmission line as discussed previously. 4.2. Measurement of Reflection Coefficient Phase By referring to the phase response plot in Figure 6, it was found that the measured phase difference of the DUT correlates well with the VNA measurement throughout the frequency range of 450 MHz to 550 MHz, with minor fluctuations and errors in the acceptable range. The maximum error of measured phase was found to be 35o , with a significant improvement compared to measurement before calibration. It was believed that the transmission line design issue stated previously had certain impact on the phase measurement result. Apart from that, the magnitude and phase measurement of reflection coefficient before and after calibration were determined and summarized in Table 2 below. It was noticed that there was a slight rise in the maximum error from 3.18 dB to 5.95 dB for magnitude after calibration, but with significant improvement in the maximum phase error, which dropped from 171.57o to 35o . The measurement of magnitude was acceptable for frequency of 490 MHz onwards to 550 MHz, but not for below 490 MHz. However, the phase response was considered as relatively precise as it correlates well with the VNA measurement. Figure 6. Comparison of measured reflection coefficient phase using reflectometer prototype and vector network analyzer Table 2. Comparison of maximum magnitude and phase error before and after calibration Error Before Calibration After Calibration Maximum magnitude error 3.18 dB 5.95 dB Maximum phase error 171.57o 35.00o
  • 7. IJECE ISSN: 2088-8708  Development of Compact P-Band Vector Reflectometer (Yi Lung Then) 797 5. CONCLUSION To conclude, a complete reflectometer prototype system is developed and implemented in terms of hardware and software. Based on the comparison of the measurement obtained using the reflectometer prototype with the measurement using Agilent E5071C VNA, the results show good correlations between the two sets of measurements in general, especially in the phase measurement. However, there are concerns on the measurement error for magnitude below frequency of 490MHz, where the readings fall below the expected precision level. Primary inspection has been done and hypothetically, it is inferred that the issue is due to some flaw in the design of transmission line connecting the two bi-directional couplers. Unfortunately, the limitation of time does not allow more corrections or improvement to be implemented in order to obtain more precise measurement. Therefore, future works are required to justify the flaw so as to enhance the precision of measurement. In general, the objectives of this project are achieved. ACKNOWLEDGEMENTS This study was supported by a Research University Grant (GUP) from Universiti Teknologi Malaysia under project number Q.J130000.2523.04H77 and the Ministry of Higher Education of Malaysia (MOHE). REFERENCES [1] V. Bilik, et al., "Vector Reflectometer System for Industrial Applications", 24th European Microwave Conference, pp. 1010-1015, Sept 1994. [2] S.A. Chahine, et al., "A Low Cost Efficient Reflectometer", in Radio Science Conference, 2004. NRSC 2004. Proceedings of the Twenty-First National, 2004, pp. A1-1-5. [3] G. Kamitani, et al., "Low Cost Millimeter-Wave Vector Reflectometer", in Microwave Conference Proceedings, 2005. APMC 2005. Asia-Pacific Conference Proceedings, 2005, pp. 1-4. [4] M. Hofmann, et al., "A Microwave Sensing System for Aqueous Concentration Measurement Based On A Microwave Reflectometer", in Microwave Symposium Digest (MTT), 2012. IEEE MTT-S International, 2012, pp. 1-3. [5] T. Sokoll, et al., "A Self-Calibrating Low-Cost Sensor System for Moisture Monitoring of Buildings", in Microwave Symposium Digest, 2006. IEEE MTT-S International, 2006, pp. 1584-1587. [6] Y.L. Then, et al., "Soil Moisture Dielectric Measurement Using Microwave Sensor System", International Symposium on Antennas and Propagation (ISAP), 2014, pp. 97-98. [7] J.T. Nagy, “Remotely Operated Reflectometer”, Bachelors Degree of Science in Electrical Engineering, Undergraduate Colleges, The Ohio State University, Ohio, 2013. [8] M. Krok, et al., "A Low-Cost PC Controlled System for Measurement of Vector Reflection Coefficient in ISM Band", International Symposium on Microwaves, Radar & Wireless Communications (MIKON), 2006, pp. 33-36. [9] A. Was, et al., "Low-Cost Handheld Multiprobe Reflectometer for the ISM Band", 17th International Symposium on Microwaves, Radar & Wireless Communications (MIKON), 2008, pp. 1-4. [10] Analog Devices, “AD8302 RF/IF Gain and Phase Detector”, Massachusetts: Analog Devices Inc, 2002. [11] K.Y. You, et al., "Precise Moisture Monitoring for Various Soil Types Using Handheld Microwave-Sensor Meter", IEEE Sensors Journal, vol. 13, pp. 2563-2570, March 2013. [12] K.Y. You, et al., "Simple Calibration and Dielectric Measurement Technique for Thin Material Using Coaxial Probe", IEEE Sensors Journal, vol. 15, pp. 5393-5397, Oct 2015. [13] Y.L. Then, et al., "Compact Microstrip S-Band 90° Hybrid Coupler", IEEE Symposium on Wireless Technology and Applications (ISWTA), 2013, pp. 202-206. [14] C.Y. Lee, et al., “Enhanced Five-Port Ring Circuit Reflectometer for Synthetic Breast Tissue Dielectric Determination”, Progress In Electromagnetics Research C, vol. 69, pp. 83-95, 2016. BIOGRAPHIES OF AUTHORS Yi Lung Then was born in Kuching, Malaysia in 1988. He received both his bachelor degree and Ph.D. in electrical engineering from Universiti Teknologi Malaysia (UTM), Skudai, Malaysia. He is currently a lecturer in Faculty of Engineering, Computing and Science, Swinburne University of Technology (SUTS), based in Sarawak, Malaysia. His research interests include RF and microwave engineering, passive microwave components design and fabrication, antenna design and fabrication, and microwave sensors and reflectometer for modern agriculture.
  • 8.  ISSN:2088-8708 IJECE Vol. 7, No. 2, April 2017 : 791–798 798 Kok Yeow You was born in 1977. Hereceived the B.Sc. degree in physics (Hons.) from Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia, in 2001, the M.Sc. degree in microwave from the Faculty of Science in 2003, and the Ph.D.degree in wave propagation from the Institute for Mathematical Research, Universiti Putra Malaysia (UPM), Serdang, Selangor, Malaysia, in 2006. He is currently a Senior Lecturer with the Communication Engineering Department, Faculty of Electrical Engineering, Universiti Teknologi Malaysia (UTM), Skudai, Malaysia. His current research interests include theory, simulation, and instrumentation of electromagnetic wave propagation at microwave frequencies focusing on the development of microwave sensors for agricultural applications. Ming Hao Lee was born in Ipoh, Malaysia in 1990. He received the B. Eng. degree in electrical - telecommunications engineering (Hons.) from Universiti Teknologi Malaysia (UTM) Skudai, Malaysia, in 2014. He is currently a wireless product engineer in Network Design and Bidding Department, Huawei Technologies (Malaysia) Sdn Bhd. He currently works on the wireless network design for GSM, UMTS, LTE projects for network operators and service providers in Malaysia. Chia Yew Lee was born in 1988. He received the bachelor’s degree in electrical engineering (computer) from Universiti Teknologi Malaysia, Skudai, Malaysia in 2012. He involved in research on biomedical sensor designs for his Ph.D. degree in biomedical engineering.