This document provides an overview of lock-in amplifiers and describes a modern digital signal processing (DSP) based lock-in amplifier designed for experimentation. It discusses how lock-in amplifiers work by modulating a small signal to move it out of noise and then synchronously demodulating it. Early analog designs are described along with their limitations. The document then covers the advantages of DSP-based designs using digital demodulation. It introduces a lock-in amplifier platform designed for experimentation that uses a microprocessor and fast ADCs to provide flexibility in hardware and software configurations.
Digital communication viva questions.( 50+)
MCQ of digital communication (50+)
communication systems MCQ. (50+)
communication systems viva questions (50+)
covered topic list:
sampling,quantization,digital,discrete,AM,FM,PM,ASK,FSK,PSK,DM,DPCM,QPSK,ADM,differences,modulation,block diagram,applications,PAM,PWM,PPM,line encoding,polar encoding,bipolar encoding,unipolar encoding,RZ,NRZ,AMI,HDB3,B8ZS
will provide you a basic introduction about digital modulation techniques, provide a basic introduction of ASK(Amplitude shift keying) PSK(phase shift keying) FSK(frequency shift keying) and will also provide a introduction about types of PSK
Digital communication viva questions.( 50+)
MCQ of digital communication (50+)
communication systems MCQ. (50+)
communication systems viva questions (50+)
covered topic list:
sampling,quantization,digital,discrete,AM,FM,PM,ASK,FSK,PSK,DM,DPCM,QPSK,ADM,differences,modulation,block diagram,applications,PAM,PWM,PPM,line encoding,polar encoding,bipolar encoding,unipolar encoding,RZ,NRZ,AMI,HDB3,B8ZS
will provide you a basic introduction about digital modulation techniques, provide a basic introduction of ASK(Amplitude shift keying) PSK(phase shift keying) FSK(frequency shift keying) and will also provide a introduction about types of PSK
Wireless communications is a hot topic in technology today, driven by technologies like Wireless Networking, Cellular Telephony, Wireless Connectivity and Satellite Communications among others. Traditionally, wireless and RF communications has been one of the last bastions of analog engineering. With the advent of low cost digital, high speed integrated circuits, this too has become part of the digital domain. Although information transmitted today is largely digital high frequency signals whether digital or analog always behave like analog signals so having fundamental knowledge of this high frequency behavior is key.
Sending multimedia data (e.g. data, image and
video) using Power Line Communications (PLC) has been growing
significantly. In fact, impulsive noise (IN) causes significant
degradation which restricts communication performance in PLC.
In this paper, we propose to study the impact of IN on image
communication in Orthogonal Frequency Division Multiplexing
(OFDM) based PLC. A strightforward conventional iterative
IN reduction algorithm, presented in [9] can be applied to
improve bit-error rate (BER) in OFDM system. But, this iterative
algorithm is insufficient to improve the visual quality Peak Signalto-
Noise Ratio (PSNR) performance in image communication.
First, we study its performance in terms of BER and PSNR using
a convolutional encoder (CE). Then, we modify its concept by
introducing CE and Viterbi decoder into the iterative algorithm.
Finally, we aim to show the impact of BER degradation on
visual quality PSNR performance of the reconstructed image.
Our results lay out that the proposed method provides good
PSNR and visual quality improvement than the conventional
algorithm with and without CE.
Wireless communications is a hot topic in technology today, driven by technologies like Wireless Networking, Cellular Telephony, Wireless Connectivity and Satellite Communications among others. Traditionally, wireless and RF communications has been one of the last bastions of analog engineering. With the advent of low cost digital, high speed integrated circuits, this too has become part of the digital domain. Although information transmitted today is largely digital high frequency signals whether digital or analog always behave like analog signals so having fundamental knowledge of this high frequency behavior is key.
Sending multimedia data (e.g. data, image and
video) using Power Line Communications (PLC) has been growing
significantly. In fact, impulsive noise (IN) causes significant
degradation which restricts communication performance in PLC.
In this paper, we propose to study the impact of IN on image
communication in Orthogonal Frequency Division Multiplexing
(OFDM) based PLC. A strightforward conventional iterative
IN reduction algorithm, presented in [9] can be applied to
improve bit-error rate (BER) in OFDM system. But, this iterative
algorithm is insufficient to improve the visual quality Peak Signalto-
Noise Ratio (PSNR) performance in image communication.
First, we study its performance in terms of BER and PSNR using
a convolutional encoder (CE). Then, we modify its concept by
introducing CE and Viterbi decoder into the iterative algorithm.
Finally, we aim to show the impact of BER degradation on
visual quality PSNR performance of the reconstructed image.
Our results lay out that the proposed method provides good
PSNR and visual quality improvement than the conventional
algorithm with and without CE.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
First order sigma delta modulator with low-power consumption implemented in a...eSAT Journals
Abstract
This paper presents a design of a switched-capacitor discrete time 1st order Delta-Sigma modulator used for a resolution of 8 bits
Sigma-Delta analog to digital converter. For lower power consumption, the use of operational transconductance amplifier is
necessary in order to provide wide output voltage swing and moderate DC gain. Simulation results showed that with 0.35um CMOS
technology, 80 KHz signal bandwidth and oversampling rate of 64, the modulator achieved 49.25 dB Signal to Noise Ratio (SNR) and
the power consumption was 5.5 mW under ±1.5V supply voltage .
Index terms: Analog-to-Digital conversion, Delta-Sigma modulation, CMOS technology, Transconductance operational
amplifier.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Digital Implementation of Costas Loop with Carrier RecoveryIJERD Editor
Demodulator circuit is a basic building block of wireless communication. Digital implementation of
demodulator is attracting more attention for the significant advantages of digital systems than analog systems.
The carrier signal extraction is the main problem in synchronous demodulation in design of demodulator based
on Software Defined Radio. When transmitter or receiver in motion, it is difficult for demodulator to generate
carrier signal same in frequency and phase as transmitter carrier signal due to Doppler shift and Doppler rate.
Here the digital implementation of Costas loop for QPSK demodulation in continuous mode is discussed with
carrier recovery using phase locked loop.
Mathematical Modeling of Class B Amplifire Using Natural and Regular Sampled ...ijceronline
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
Design and Implementation of Digital PLL using Self Correcting DCO SystemIJERA Editor
The mainstay of the paper is to use a PLL using self healing pre-scalar. When a CMOS technology approaches to a nanometer scale, the non-idealities like variability and leakage current may affect the circuit performances. The process variability leads to the large variations to degrade the device matching and performances. The leakage current is highly dependent upon the process variations. In the existing method the key parameter is to be change the modulus value of the pre- scalar. By changing the value of the pre-scalar the PLL frequency range will be extended. In the proposed design we are planning to implement the digital PLL technique with self correcting DCO. The structure utilizes the DDR synthesizer as a base for generating the DCO frequency, so many methods are there to correct the DCO errors , here we detect the error or delay and correct it by using smooth jumping method. The DPLL varies from minimum system clock frequency 60 to 1489 MHZ (Minimum) maximum of GHZ frequency of any range we can generate, since our design act as a general platform for any kind of application.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
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Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
1. A Modern DSP Based Lock-In Amplifier Designed for Code and
Hardware Experimentation
By: Steven C. Hageman / AnalogHome
Introduction
Lock-In amplifiers have been around since their
first development as described by Dicke in the
1940’s[1] and they are still used today in many
experimental systems. The technique is also
called by a variety of names: Phase Sensitive
Detection, Synchronous Detection and Narrow
Band Detection.
Originally the technique was used to enable
measurement on very small signals that would
otherwise be obscured by even the best available
amplifiers noise. By modulating the signal, AC
amplifying it, then synchronously demodulating
it, and applying a very narrow Low Pass Filter,
the result is: a very narrow detection bandwidth
that totally bypasses the 1/f amplifier noise
problems and hence produces a very low noise
floor.
Basic Lock-In Technique
All electrical systems have increasing noise as the
frequency approaches DC [2], this noise is called
1/f noise. Even though amplifier noise has been
reduced nearly 1000x since the 1940’s, 1/f noise
is still a limiting factor in many high performance
measuring systems. The Lock-In Amplifier
technique is an effective way to deal with this
excess noise problem.
A common experiment that is limited by noise is
shown in figure 1, this experiment is the
measurement of optical absorption by
illumination of a test sample by a light source.
Figure 1 – A typically challenging optical
measurement. High attenuation of the optical
sample makes measuring the resulting light
intensity difficult because of detector and
amplifier noise.
After the light passes through the optical sample it
is attenuated greatly, thus necessitating
amplification to get a measurable signal. The
signal plot in figure 2 illustrates the signal and
noise problem.
Figure 2 – A signal and noise diagram for the
measuring system of figure 1. The attenuated
signal (red) is obscured by the Detector +
Amplifier 1/f noise. Interfering signals (Blue) are
usually also present.
Page 1 of 12 Copyright 2018 Steven C. Hageman
2. As figure 2 demonstrates, this experiment will
yield poor results as the resulting signal is below
the detector and amplifiers noise. Interfering
signals are typically power line (50/60 Hz)
related.
The Lock-In Amplifier technique is a solution to
this problem (figure 3). First, the light source is
modulated or chopped at some frequency high
enough to move the signal out of the detectors +
amplifiers 1/f noise region and also away from
any interfering signals. In the old days, a rotating
mechanical light chopper might have been used,
today a LED or Laser illumination source could
be electrically switched on and off.
The now modulated light is passed through the
optical sample and detected by the photo-detector.
The detected AC signal is then amplified by a low
noise amplifier (figure 4). The signal is then
demodulated with a synchronous demodulator
operating at the same frequency as the light
chopper.
Figure 3 – The Lock-In Amplifier solution to the
measurement problem of Figure 1. Here a
rotating wheel acts to chop or modulate the light
source.
After demodulation the original signal is at DC
again, and this DC signal can then be filtered with
a very narrow Low Pass Filter (LPF). The
resulting system noise bandwidth can be made
very small resulting in a greatly improved signal
to noise ratio.
Figure 4 – After modulating (chopping) the signal
(Red) is now shifted up in frequency to avoid the
amplifier noise and any interfering signals (Blue).
The Basic Lock-In Amplifier
The basic Lock-In amplifier consists of some sort
of reference source output that is used to
modulate the experiments driving signal and a
synchronous demodulator that is driven from the
same reference (figure 5). As will be shown, the
phase relationship between the signal source and
the demodulator is important.
Figure 5 – The basic block diagram of a Lock-In
Amplifier. The various function blocks may be:
analog, digital or a combination of both.
Page 2 of 12 Copyright 2018 Steven C. Hageman
3. Classical Analog Lock-In
The first synchronous demodulators were Analog
and were built with a switched, +1/-1 gain
amplifier combination. One possible circuit is
shown in Figure 6. Using the best available
discrete circuits today [3], allows this same
technique to extend from DC to better than 1
MHz modulation frequency.
The demodulation function for the circuit shown
in Figure 6 is a square wave, so this technique has
a response at the fundamental modulation
frequency, and also at odd harmonics of the
modulation frequency. These harmonic responses
are impossible to separate from the desired
fundamental response and therefore can add to
measurement errors if they are large enough [4].
Figure 6 – The first Lock-In Amplifiers used a
square wave synchronous demodulator similar to
what is shown here. The gain is switched from +1
to -1 at the modulation frequency.
Other circuit configurations can be used for the
synchronous demodulator and at higher
frequencies the circuit of figure 6 can be replaced
with a diode ring mixer. This can extend the
useful demodulation frequency range to several
hundred MHz.
The demodulator of figure 6 has been available in
IC form since the 1980’s as the Analog Devices
AD630 [5]. A more modern analog / digital
crossover IC is also available [6].
The circuit of figure 6 is also called a: Phase
Sensitive Detector. For instance, if the
demodulation signal and the frequency of the
switching are in phase the output of the circuit
will be essentially a full wave rectifier. In this
case the DC output of the Low Pass Filter will be
proportional to the amplitude of the signal.
Conversely, if the phase of the demodulating
signal is shifted 90 degrees (or in quadrature) with
respect to the input signal, the output of the LPF
is now sensitive to the phase of the input signal.
This phase sensitive demodulation is detailed in
figures 7 and 8. The input signals in figure 7 and
8 are shown as sine waves as this is the easiest
way to visualize the phase relationships of the
various signals. The actual input signal can be of
any waveform shape.
Figure 7 – If the input signal (VG1) and the
demodulating signal (VG2) are in phase, then the
circuit of figure 6 acts like a full wave rectifier
and the output (VF1) is proportional to the input
signal amplitude. After low pass filtering the
output would be a DC signal.
Page 3 of 12 Copyright 2018 Steven C. Hageman
4. Figure 8 – If the input signal (VG1) and the
demodulating signal (VG2) are 90 out of phase
(quadrature), then the circuit of figure 6 acts like
a phase detector and the output (VF1) is
proportional to the phase difference between the
signals. As can be seen, the DC Level (VF1) in
this case is zero when the signals are exactly 90
out of phase.
It is clear from figure 7 and 8 that when using the
classical synchronous demodulator of figure 6,
the phase relationship of the signals is critical
when measuring either phase or amplitude.
Wandering amplitude or phase will not give
consistent readings with this type of circuit.
Of note: This ‘Analog’ Lock-In Amplifier
technique was used by Hewlett-Packard starting
in 1958 in their Microwave Power Meter products
and continues to be used today [7].
Classical DSP Based Lock-In
In the mid 1980’s analog Lock-In Amplifiers gave
way to Digital Signal Processing (DSP) based
designs. These DSP based Lock-In Amplifiers
were based on the very common Quadrature or IQ
detection method that is still used in all sorts of
digital demodulators today including Software
Defined Radios (SDR’s) (figure 9). The enabling
technology was the availability of high speed, 16
bit Analog to Digital Converters (ADC’s).
Figure 9 – DSP Based Lock-In Amplifier,
everything after the ADC input is implemented
digitally.
There are three big advantages with DSP Based
designs,
1) All the processing and filtering after the ADC
is done digitally eliminating all the matching,
accuracy, drift and tuning problems of Analog.
2) The demodulator implements both an in-phase
and a quadrature detector section so that the
actual magnitude and phase of the input signal
can be determined for any phase relationship
between input signal and the reference. This was a
very important performance improvement.
3) The Reference signal is implemented as a
digital sine wave. When combined with a true,
digital multiplying demodulator, this eliminated
the third order response problem of the classic
analog demodulator of figure 6.
These commercial DSP designs have progressed
in performance over the years and now can
operate from DC to several hundred Megahertz.
A Lock-In Designed for Experimentation
Commercially available Lock-In Amplifiers
contain many features and usually have built in
Page 4 of 12 Copyright 2018 Steven C. Hageman
5. displays and user Interfaces. This makes them
easy and quick to apply to a variety of
experiments. The user of a commercial instrument
however is constrained in using the processing
algorithms and hardware configurations “as
supplied” by the instrument manufacturer.
This “Closed System” configuration stifles
experimentation into new approaches.
Experimentation today is defined as an: “Open
Ecosystem” configuration of hardware and
software that can be modified or extended at will
and as needed.
It is with this need in mind that I designed a
Lock-In Amplifier Platform that is expressly
designed for quick experimentation in both the
hardware and software domains.
Hardware Design for Experimentation
The basic hardware design of figure 10 is built on
two main PCB sections. The main board contains
the power supplies, 32 Bit Microprocessor, Direct
Digital Synthesis (DDS) source and two fast 16
bit ADC’s. These base functions are needed for all
conceivable configurations.
Figure 10 – A modernized Lock-In platform
designed for experimentation. A single 32 Bit
Microprocessor controls all the digital functions
of the instrument. The Analog sections (yellow
blocks) are quickly replaceable via a mezzanine
PCB for easy adaptability to any requirement.
The ADC core functions consist of two very high
performance 16 bit ADC converters that can
convert at up to 2 MSPS in 16 bit mode or up to
2.4 MSPS in 8 bit mode. Most designs that use
high-speed ADC’s have a separate FPGA to
control data acquisition and storing the ADC
samples to memory. This design uses the latest
high-speed, MIPS based, 32 Bit Microprocessor
to do this function entirely itself. The
Microprocessor contains 512k bytes of on-board
RAM for saving ADC data directly and by using
the Microprocessor to directly control the ADC’s
saves two other chips, namely: A FPGA and
external RAM chip. More importantly however,
this configuration saves the user from having to
deal with yet another piece of code + compiler +
programmer that would be needed in working
with a separate FPGA.
The Microprocessor chosen also includes a
peripheral divide down counter that is clocked
from the low noise system clock. The output from
the divider is a low jitter, square wave, that is
used to generate the sample trigger clock for the
ADC’s. The ADC sample trigger clock is easily
programmable from DC to 2.4 MSPS as dictated
by the desired sampling rate.
The Source Output is generated by a commercial
DDS IC. The output is a sine wave of up to 25
MHz, but this can be modified to be any wave
shape as may be required by the experiments
needs. Attenuation and offset controls are built
into the main board to control the output up to
+/-5 Volt maximum with 2 mV resolution. The
offset can also be controlled over the full +/- 5
Volt range. Source harmonics are less than -55
dBc, which is comparable to a ‘good’ analog
oscillator.
What needs to change to adapt this platform to
any experimental configuration is the analog IO
that is shaded yellow in figure 10.
The replaceable Analog Front End (AFE) is built
Page 5 of 12 Copyright 2018 Steven C. Hageman
6. on a plugin mezzanine PCB that can be quickly
designed around any specific application need.
The AFE typically contains the signal input
connectors and the input signal conditioning as
shown in figure 11. Connection between the
boards are made through four, 10 pin, board to
board connectors. The board to board connectors
provide analog and digital IO, along with power
to the AFE Mezzanine.
Figure 11 – The Analog IO is what needs to
change to adapt the new Lock-In Amplifier
platform to any possible need. In this design the
Analog IO functions are placed on an easily
replaceable mezzanine PCB that plugs into the
main PCB.
Modern Analog functions still need digital control
and this is accomplished by having two Serial
Digital IO (SPI) controls, one for each analog
channel brought up to the mezzanine PCB. These
two channels may be further expanded by the use
of SPI IO expanders to any number of digital
channels.
To provide maximum isolation between the AFE
channels, each AFE channel is supplied by
independent, low noise, linear regulators
supplying +6 and -5.5 Volts. A system power rail
of +7 Volts at high current is available to the
mezzanine for driving high current loads such as:
LED’s, relays, etc.
One AFE design that has been developed
(pictured in figure 11) is a general purpose AFE
that uses 4 nV/rt-Hz JFET input amplifiers, has a
gain range of 0.1-1000, Input Impedance of 1
Megaohm and a bandwidth of up to 15 MHz. This
general purpose AFE allows the measurement of
any signal from: +/- 2 mV to +/-20Volts full scale.
Other designs have included,
* Ultra Low Noise Bipolar Input Amplifiers
* Photodiode / Transimpedance Amplifiers
* Ultra High Impedance Amplifiers
* Piezo Transducer (Charge) Amplifiers
* Low DC Drift, Chopper Stabilized Amplifiers
In some applications, the Lock-In Amplifier is
used in a closed loop control system which
usually includes some form of analog output.
Since the Lock-In processing algorithms are
digital in this design, the final result of the any
processing is a digital number. This digital result
can then be fed to a suitable DAC that is scaled
exactly as required for the experiments needs. The
Analog Output in this design resides on the AFE
Mezzanine board. This location makes it easy to
modify and adapt the output to fit any system
requirements.
Since imperfect parts are used for the source and
AFE gain setting resistors the gain varies from
board to board. To overcome this a calibration
process was developed for this design. The main
board contains a general purpose 32k byte
EEPROM that can be used for calibration
memory. This EEPROM can be used to store up
to 8k, floating point numbers and these can be
used for storing calibration constants.
General purpose cal routines have been developed
that use the on-board DDS Source as an AC test
signal. The source is first calibrated with the help
of a high resolution True RMS reading DVM.
Using the calibrated DDS source with suitable
Page 6 of 12 Copyright 2018 Steven C. Hageman
7. attenuators and making actual input comparison
measurements with the DVM, the AFE boards
gains and offsets can be determined and stored on
board. A calibration performed in this manner
takes only a few minutes and has the accuracy
and traceability of the DVM.
Software Design for Experimentation
Modern digital radios are said to be “Software
Defined” (Software Defined Radios or SDR’s)
because it is the software that defines the
demodulation characteristics of the radio not the
hardware. In Analog radios for instance,
demodulating AM and FM signals had to be done
with different hardware detectors. In a SDR, once
the signal is digitized properly any demodulation
may be performed simply by changing the
demodulation algorithm in software.
Coupled with Open Software [9], this approach
leads to the possibility of quick experimentation
and bread-boarding of new ideas in software
without having to change the underlying
hardware.
This same technique has been applied to Lock-In
Amplifiers with this design. The signal is
digitized early in the processing chain and then by
varying the amount of samples taken, sample rate
and the processing algorithms, nearly any desired
demodulation can be achieved by changing only
the processing software.
One common digital processing technique is to
oversample the input signal. This is used to
increase the effective number of bits in the ADC.
Since this design uses a 16 bit ADC, the natural
dynamic range is approximately 6 dB times the
number of bits or approximately of 96 dB. If there
is sufficient random noise in the signal to ‘dither’
the LSB’s of the ADC, then by sampling the
signal 16 times for each desired output sample we
can increase the effective resolution by a factor of
4 (Square Root of 16 = 4). This is like adding 2
bits to the ADC. Oversampling by dither noise is
usually easily accomplished because, whatever
signal transducer is used, it will usually have
sufficient noise to dither the ADC LSB’s. The
AFE gain just needs to be set high enough to get
the signals natural noise floor above the ADC
noise by a few LSB bits [8]. If required, external
dither can also be added to the signal path.
Another very common processing step that is
found in SDR’s, but not much of anywhere else is
undersampling. Normal sampling is when the
Nyquist criteria is applied to a baseband signal.
Everyone knows this to be something like: “You
must sample a signal at greater than twice the
signals bandwidth for there to be no digital
aliasing of the signal back into the baseband.” The
key word here is: Bandwidth. As long as the
sampling rate is greater than twice ‘bandwidth’
then there will be no aliasing of the signals to
baseband. This is illustrated in figure 12.
Figure 12 – An illustration of undersampling. The
desired signal is in red, the trapezoid around the
signal is the bandwidth of the analog signal path.
When the signal (Red) is digitized at a Fsamp
rate it will be ‘mixed’ to a lower frequency as
shown (Blue). In this example the signal would
actually wrap around to negative frequencies,
then appear as the baseband signal shown. This
baseband signal can then be low pass filtered to
remove any other mixing products.
Page 7 of 12 Copyright 2018 Steven C. Hageman
8. As long as the analog signal path and the ADC’s
sample and hold dynamic bandwidth is greater
than the signals absolute frequency, then
undersampling will work. The ADC’s sample and
hold function acts like a mixer and just like a
mixer, multiple digital images show up in the
undersampling output. The resulting baseband
signal can be digitally low-pass filtered to remove
any other mixing products just as in done with
real hardware mixers. The advantage should be
clear, the down-conversion can be changed at will
because all the down-conversion parameters are
adjustable in software. Another benefit of
undersampling is the required ADC sampling rate
and therefore the data rate is greatly reduced,
simplifying the ADC memory hardware deign.
Undersampling has another use that can be
exploited to great advantage in Lock-In
Amplifiers. In some experiments it is desired to
measure not only the fundamental response, but to
also measure the 2nd
and possibly 3rd
harmonic of
the signal at the same time. Some Analog Lock-In
Amplifiers have the capability to measure the 2nd
harmonic, but not the third and never all at once.
With this software defined Lock-In Amplifier it is
possible to measure all three signals at once as is
shown in figure 13.
In figure 13 a 10.7 MHz signal is digitized at a
sampling rate of 2 MHz. The AFE analog signal
bandwidth was > 32 MHz and the ADC used in
this design has a sample and hold bandwidth of
50 MHz. This allowed the fundamental, 2nd
and
3rd
harmonics to be digitized simultaneously. The
fundamental then shows up at an apparent base
band frequency of 700 kHz, the 2nd
harmonic
appears as 600 kHz and the 3rd
harmonic appears
as 100 kHz. Since the experiments frequency of
operation is determined by the internal source
frequency from the Lock-In Amplifier, the
fundamental and harmonic frequencies are also
known and the multiple aliasing does not matter
because all the signals frequencies are known and
can still be separated in frequency.
Figure 13 – Here a 10.7 MHz signal with its
harmonics was digitized at 2 MHz, the resulting
fundamental signal, the 2nd
and 3rd
harmonics of
the signal all alias back to baseband and are still
easily distinguishable.
The ability to separate and identify aliased signals
is a unique feature of a source / receiver
instrument. The signal and all the harmonic
frequencies are known, since they are set by the
on-board source and they can be avoided or
combined as desired in the resulting output
spectrum.
In the example shown in figure 13 all three
signals can be processed digitally at once because
they can all be arranged as baseband signals at
known and different frequencies. This processing
capability is simply unobtainable in any Analog
or current Digital Lock-In Amplifier and is a
direct result of the software defined nature of this
design.
All current Digital Lock-In Amplifiers use the
classical processing approach that is shown in
figure 9. This DSP scheme mimics a zero
Intermediate Frequency analog down converter as
would be found in modern SDR designs, but this
is not the only approach that can be used.
Complex FFT’s can be performed on the digitized
Page 8 of 12 Copyright 2018 Steven C. Hageman
9. signals that will yield similar and possibly more
useful results.
Using a FFT approach, a conversion scheme like
was shown in figure 13 is possible, where each
signal can easily be separated in frequency, as
each signal shows up in a different FFT Bin.
Demodulating a signal like figure 13
simultaneously is impossible using the
conventional DSP approach of figure 9.
All FFT’s by their nature return a complex result.
This complex result has magnitude and phase
information that is similar to the I/Q output of the
conventional DSP processing Lock-In Amplifier
of figure 9. By using one of the Lock-In
Amplifiers channels to measure the source, as a
reference and the other channel on the detector
output, Gain and Phase information may be
reliably measured and processed as required
(figure 14). A further benefit is that a gain ratio
measurement of the output / input signal can be
made effectively eliminating any light source
intensity fluctuation from the measurement result.
This results in improved measurement stability.
Figure 14 – With dual input channels, a reference
channel measurement can be compared to the
attenuated sample measurement. Hence, the
complex gain and phase properties of the sample
may be determined.
Noise floor reduction techniques that are used
extensively in SDR’s are applicable to this Open
Software Lock-In Amplifier design also.
One such technique is: Noise Floor De-
Embedding. The process works like this: The
noise floor is accurately measured. It is a well
known fact that any signal that measures 3dB
above the noise floor is actually a signal at the
noise floor because the noise powers add to a
signal giving an apparent 3 dB amplitude above
the noise. A correction can then be made for the
noise floor and a better estimate of the signals
actual amplitude can be made. In this case, the
signal would be reported with a 3 dB lower
amplitude than what was measured. This
processing has effectively De-Embedded the
noise floor from the measurement. Practically this
technique may increase the dynamic range by 7 to
10 dB [10].
Another very useful technique that is used in very
low signal to noise environments is: Cross
Spectrum Analysis.
Figure 15 – Cross Spectrum Analysis is
performed by vector summing one complex FFT
output with the complex conjugate of another
identical channel. If the additive noise is
uncorrelated in both analog channels, then the
noise will cancel out with averaging. Given
enough averages this technique can enhance the
noise floor by 20 dB or more.
Page 9 of 12 Copyright 2018 Steven C. Hageman
10. In cross spectrum analysis (figure 15), two or
more analog input channels are connected to the
same signal source. By vector summing one
channels FFT result directly with the complex
conjugate of the other channel, the noise of the
analog channels will average out, but the signal
won’t. With enough averages, the noise floor of
the instrument can be effectively lowered by 20
dB or more [11].
Cross Spectrum Analysis works because both
analog channels will have uncorrelated noise and
this noise can be vector averaged out, but the real
signal in each path is correlated and will not
average out.
The processing gain of a cross spectrum analysis
is,
Reduction dB = 5 dB * Log10(Averages)
For 1000 FFT averages the noise floor can be
reduced by 15 dB (or 5.6x less voltage noise).
Once the hardware design reaches the achievable
limits of the input amplifier device noise, Noise
De-Embedding or Cross Spectrum Analysis is the
only way to get real reductions in the noise floor
[10].
Any or all of the above techniques can be applied
to this common hardware platform because of the
Open Software nature of the design. These
techniques cannot be easily applied to any
commercial instruments because of the
impossibility of changing a commercial
instruments software.
Signal Processing
Depending on the requirements, the digital signal
processing may be performed entirely by the on-
board microprocessor or raw data may be
transferred to a control Personal Computer (PC)
for further processing. The microprocessor used
here can perform a highly optimized 16k point
FFT in under 30 milliseconds. The 32 Bit
Microprocessors highly optimized DSP
commands along with 512k bytes of on-board
data RAM allow for extensive signal processing
to be performed by the instrument itself.
The 32 Bit Microprocessor also includes is an
integrated Floating Point processor Unit (FPU),
which can provide both single and double
precision floating point results in a single
instruction. Real double precision math in
hardware opens up a whole new realm of
computational possibilities that are not available
when emulating Floating Point in software,
because of the speed advantages.
With the Open Software approach, the signal
processing can be partitioned between the on-
board microprocessor and the control PC in any
way that makes sense for the specific application.
Hardware Control
The microprocessor on the main board is able to
run self contained applications which is useful for
closed loop system where the output is an analog
signal. Many times however, Lock-In Amplifier
applications use the instrument as a measuring
device transferring commands and data to a PC
that is used for further processing, display and
storage.
To facilitate PC control a USB 2.0 connection is
supplied in this Lock-In Amplifier design. The
USB connection is connected to the on board
Microprocessors UART and runs at up to 3
MBAUD.
If isolation is required to the PC to cut ground
loops, a simple add on USB isolator can be
inserted in the USB cable between the instrument
Page 10 of 12 Copyright 2018 Steven C. Hageman
11. and the PC [12] and the instrument may be
battery powered.
Control commands to the Lock-In Amplifier are
processed through a SCPI like command parser
[13]. For instance, a command to start a data
acquisition sequence, and read the result would
be: “CHANel1:MEASure?”, which can be
shortened to: “CHAN1:MEAS?”. The command
above would initiate a data capture on channel 1
and return the data array result.
With the Open Software nature of the instrument,
any command may be added or multiple
operations can be combined into one as may be
desired for the experiment at hand.
This makes control of the instrument easy and
intuitive. In SCPI a standard set of commands are
always present like,
*IDN?, Which asks the instrument to identify
itself,
*RST, Which causes the instrument to preset
itself to the power on state.
The command parser API is easy to extend
making the addition of application specific
commands straightforward.
This is useful because different AFE designs will
almost certainly require custom command sets for
control.
Wrapping the design up
The hardware design was sized to fit a
commercial extruded enclosure that measures 5 x
6 x 2 inches tall. The front and rear panels of this
design are flat plates which allows custom front
and rear panels to be easily made to fit any
custom application.
Using a simple hardware chassis design allows
for easy access to the hardware for development
and troubleshooting purposes as the hardware
slides out of the chassis for access.
The all aluminum enclosure also provides
electrical shielding and environmental isolation
from drift inducing air currents.
The design with the universal JFET Input AFE
consumes about 7.5 Watts total from a 9 VDC
source, which leads to only a few degrees C
temperature rise of the enclosure.
Figure 16 – The experimental Lock-In Amplifier
design fits in a 5 x 6 x 2 inch tall commercial
enclosure.
Notes / References
[1] Robert H. Dicke, Physicist, Popularized the
Lock-In Amplifier.
https://en.wikipedia.org/wiki/Robert_H._Dicke
[2] Even chopper amplifiers have 1/f noise.
Though choppers are better than other types of
amplifiers, their noise will eventually have a 1/f
shape if you look at a low enough frequency.
[3] The best analog switching circuits available
Page 11 of 12 Copyright 2018 Steven C. Hageman
12. today were actually developed in the 1970’s in the
form of the very fast and low capacitance DMOS
switches like the Siliconix (now Vishay) SD210
series which are still available today.
[4] Some ‘advanced’ Analog Lock-In Amplifiers
implemented a quasi-sine wave demodulator
based on the Walsh function and implemented
with a 4 step quantized sinewave multiplier.
These designs had the effect of reducing the odd
harmonic responses about 20 dB from their
square wave based counterparts. See: Princeton
Applied Research Model 5210.
[5] This is interesting, because the same Analog
Dialog Magazine that introduced an IC form of
figure 5, the AD630, also had articles on DSP
based chips and methods that could duplicate
these analog functions digitally. See: Analog
Dialog V17n1, 1983. The AD630 is limited to
demodulation frequencies of less than 200 kHz.
[6] Analog Devices ADA2200 a more modern
Lock-In Amplifier chip.
[7] See Hewlett Packard Journals,
HP434A, Vol 9 No 12, August 1958
HP431A, Vol 12 No 10, June 1961
HP436A, Vol 27 No 2, October 1975
The most modern design to use a Lock-In
Amplifier technique is the Keysight E4416A.
[8] The rule of thumb here is that for
oversampling to work well that the random noise
that dithers or modulates the ADC LSB’s should
be a couple of bits or at least: 2 * 6 dB = 12 dB
above the natural ADC noise floor. The noise
should have a normal distribution. Usually the
signal transducers and AFE amplifier noise and
gain can be adjusted to meet this goal. Sometimes
extra dither is added to the circuit directly ahead
of the ADC.
[9] “Open Software” is defined here as: Source
code that you have access to and can modify as
needed. This is in contrast to “Closed Software”
as would be found inside a typical commercial
instrument. There is no way to modify Closed
Software to meet your needs because you don’t
have access to it.
[10] Hageman, Steve. “Measuring Small Signals
Accurately”, EDN August 23, 2012.
https://www.edn.com/design/test-and-
measurement/4394635/Measuring-small-signals-
accurately--A-practical-guide
[11] Eventually the analog channel noise will
become correlated at low enough levels due to
crosstalk leakage, power supply coupling or
thermal drift and the averaging will cease to be
effective. Practically, I find this to happen at -20
to -30 dB reduction in the noise floor, unless
extreme care is taken in de-coupling every aspect
of the hardware design.
[12] USB isolators based on the Analog Devices
ADuM4160 can be found on-line at very
reasonable prices. These isolators can be very
effective at reducing ground loop noise and
providing leakage current isolation in USB
connections.
[13] SCPI stands for: “Standard Commands for
Programmable Instruments” and is a human
readable, mnemonic based syntax that is used
extensively to control instruments.
http://www.ivifoundation.org/scpi/
Author Information:
Steve Hageman is a confirmed “Analog-aholic”
having fallen ill to the disease in about the 5th
grade. Since then he has designed and built all
sorts of Analog and RF equipment spanning DC
to 50 GHz. Currently he designs custom
instrumentation for all sorts of interesting
projects.
Page 12 of 12 Copyright 2018 Steven C. Hageman