The oversampling recruitment is a limiting factor in high frequency application such as software defined radio. This project is a high frequency processing and low oversampling ratio. A single bit semi parallel processing is proposed in this paper. Using this single bit PDSM Architecture, high speed, high complexity computations are executed in parallel. The single bit DSM is to build an RF transmitter that includes a one bit quantifier with two level switching power amplifier for high linearity and high efficiency. Performance analysis by using the MATLAB simulations by reducing the oversampling ratio by same signal to noise ratio. The DSM implemented on field programmable gate array and using a signal code division multiple access signal. This project will give bandwidth of the low oversampled signal increased four times without increasing frequency. Finally they can be achieved signal to noise ratio is very low and also oversampling ratio is small.

1. INTERNATIONAL JOURNAL FOR TRENDS IN ENGINEERING & TECHNOLOGY
VOLUME 5 ISSUE 1 – MAY 2015 - ISSN: 2349 - 9303
12
DSM Based low oversampling using
SDR transmitter
Saranya.R Mr.B.Arun M.E.,
Me (Vlsi Design) Assistant Pofessor,
Department Of Ece, Department Of Ece,
Vandayar Engineering College, Vandayar Engineering College,
Saranya2266ms@gmail.com er.arunbala@gmail.com
Abstract:The oversampling recruitment is a limiting factor in high frequency application such as software defined radio. This
project is a high frequency processing and low oversampling ratio. A single bit semi parallel processing is proposed in this paper.
Using this single bit PDSM Architecture, high speed, high complexity computations are executed in parallel. The single bit DSM is
to build an RF transmitter that includes a one bit quantifier with two level switching power amplifier for high linearity and high
efficiency. Performance analysis by using the MATLAB simulations by reducing the oversampling ratio by same signal to noise ratio.
The DSM implemented on field programmable gate array and using a signal code division multiple access signal. This project
will give bandwidth of the low oversampled signal increased four times without increasing frequency. Finally they can be achieved
signal to noise ratio is very low and also oversampling ratio is small.
Keywords— Delta sigma modulator, PDSM, SDR, oversampling.
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I.INTRODUCTION
Oversampling is Sigma-Delta (S-D) modulation based
analog-to digital (A/D) conversion technology is a cost
effective alternative for high resolution (greater than 12 bits)
converters which can be ultimately integrated on digital signal
processor ICs. The increasing use of digital techniques in
communication and audio application has also contributed to
the recent interesting cost effective high precision A/D
converters. A requirement of analog-to-digital (A/D) interfaces
is compatibility with VLSI technology, in order to provide for
monolithic integration of both the analog and digital sections
on a single die. Since the S-D A/D converters are based on
digital filtering techniques, almost 90% of the die is
implemented in digital circuitry which enhances the prospect
of The compatibility. Additional advantages of such an
approach include higher reliability, increased functionality,
and reduced chip cost. Those characteristics are commonly
required in the digital signal processing environment of
today. Conventional high-resolution A/D converters, such as
successive approximation and flash type converters, operating
at the Nyquist rate(sampling frequency approximately equal to
twice the maximum frequency in the input signal), often do not
make use of exceptionally high speeds achieved with a scaled
VLSI technology. These Nyquist samplers require a
complicated analog low pass filter (often called an anti-
aliasing filter) to limit the maximum frequency input to A/D,
and sample-and hold circuitry. On the other hand, S-D A/D
converters use a low resolution A/D converter (1-bit
quantizer), noise shaping, and a very high oversampling rate
(64 times for the DSP56ADC16). OVERSAMPLING has
become a popular technique for data conversion. The
outstanding linearity of delta-sigma modulators (DSMs) is the
main reason for popularity of these modulators in modern
electronic components such as data converters , frequency
synthesizers, and switched-mode power supplies. linearity
comes at the cost of a large oversampling ratio and, therefore,
need for high-speed processing. The oversampling requirement
in a DSM discourages its employment in today’s compute-
intensive applications, such as software defined radio (SDR)
systems..Software-Defined Radio (SDR) refers to the
technology wherein software modules running on a generic
hardware platform consisting of DSPs and general purpose
microprocessors are used to implement radio functions such as
generation of transmitted signal (modulation) at transmitter
and tuning/detection of received radio signal (demodulation) at
receiver. By using the proposed low-oversampling DSM,
envelope signals in wireless applications, e.g., orthogonal
frequency-division multiplexing (OFDM) and code division
multiple access (CDMA), can be modulated to two-level
signals. These signals can then be amplified with a switch-
mode power By using the proposed low-oversampling DSM,
envelope signals in wireless applications, e.g., orthogonal
frequency-division multiplexing (OFDM) and code division
multiple access (CDMA), multiple access (CDMA), can be
modulated to two- level signals. These signals can then be
amplified with a switch-mode power amplifier (PA.)

2. INTERNATIONAL JOURNAL FOR TRENDS IN ENGINEERING & TECHNOLOGY
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2. BLOCK DIAGRAM OF DSM
Fig 2: Block diagram of D
Fig:2 block diagram DSM
3.EXISTING SYSTEM
Several research works have utilized the concept of multi-
rate signal processing to reduce the oversampling ratio. A
Hadamard transform was used [10] [11] to decompose the
input spectrum into several sub-bands, which were then
applied to separate DSMs, whose outputs were subsequently
recombined. This work used two DSMs per output bit, which
is inefficient in terms of the die area when implemented using
radio frequency integrated circuits (RFIC) technology. The
structure is related to that of an M-path digital filter [ll]. On
each channel, the analog input sequence z[n] is modulated by
an analog f l sequence w,[n], AC modulated, decimation
filtered, and modulated by a digital *1 sequence uT[n]. The
outputs of the M channels are summed to produce the
IIACADC output y[n]. The part of the IIACADC that contains
the analog modulators and the AC modulator is referred to as
the 17nC modulator. The part of the IIACADC that includes
the decimation filters, digital modulators, and the channel
summers is referred to as the decoder. The N(z). the output of
the oversampling IIACADC can be viewed as the sum of an
overall signal component and an overall quantization error
component.An area-efficient architecture was developed
by combining multiple DSMs in parallel, along with
analog preprocessing of the input signal and digital post-
processing of the output signals. By using interconnected
modulators working in parallel with each running at the same
clock, a new Parallel processing DSM (PDSM) was
proposed. A Time Interleaved Sigma-Delta architecture was
used in to increase bandwidth of the converter with a lower
hardware complexity.
Fig:3 The oversampling ∏∆∑A/D converter
architecture(Hadamard transform)

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4. PROPOSED SYSTEM
In this paper, an alternative approach, also based on
parallel processing, is described. Here, however, multiple
DSMs are not used. The proposed PDSM implements
combined and simplified processing steps for n
sequential clocks of a regular DSM (n closed loop
computations.) A PDSM that combines n closed loops
generates n bits per clock cycle. In fact the highest
sampling frequency of the proposed PDSM is now
shifted to one multiplexer, which is the same as the
sampling frequency of the traditional single-bit DSM.
The other processing element of PDSM work n times
slower compared to traditional bit DSM The other
processing element of PDSM work n times slower
compared to traditional single-bit DSM.
Fig
4:Digital implementation of PDSM
For regular DSM, the sampling frequency of the input signal
and clock frequency of the DSM are typically equal(the is
value is fs for previous section.) Now, suppose the sampling
frequency of the input signal is fs while the clock frequency of
the DSM is fs, which may not be equal .Further more assume
that f s > fs and, for simplicity of analysis, fs/fs is a positive
integer value, N. The architecture is an extension of the third-
order and four-unrolled PDSM shown in Fig. 5. It shows that N
processor elements calculate N outputs in parallel. One
processor calculates the states of the registers for the cycle
N+1. The frequency of input sampling and for processing
elements is fs. The PDSM output rate, which is equivalent to
the PDSM throughput and output multiplexer selection
frequency, is f s. f s can be called the effective frequency of
PDSM, which considers parallel processing. The first part is
dependent on the signal values of a2, a5, a7 and x at time n
and can be processed at time n. The second part depends on
y[n], which is processed by PE1, and its process is started at
time n. The second part is a two-level value, and its two
possibilities can be pre-calculated and stored in two
registers. multiplexed from the two pre-calculated values
available in the registers. is to make an or S can be driven with
the two-level output of PDSM. The calculation of ya(i) requires
y(i-1) from the last ya calculation. depicts a hardware
implementation of a PDSM, based on (14) to (18). The Once
y[n] is ready, the second part is multiplexed from the two pre-
calculated values available in the registers. is to make an RF
transmitter which includes a one-bit quantizer delta sigma and
two-level switching power amplifier, which results in a high
linearity. One of the most favorable applications of the
proposed single-bit PDSM is to make an RF transmitter which
includes a one-bit quantizer delta sigma and two-level
switching power amplifier, which results in a high efficiency.
Fig 5 Typical implementation of PDSM
The main advantage of PDSM is to achieve higher SNR
output signal using lower processing frequency compared to a
regular DSM. One of the most favorable applications of the
proposed single-bit PDSM is to make an RF transmitter which
includes a one-bit quantizer delta sigma and two-level
switching power amplifier, which results in a high efficiency
and high linear transmitter. A two -level switching Power
Amplifier Class D, E, F, F-1 or S can be driven with the two-
level output of PDSM. The unrolling factor of the
implemented PDSM was selected to be four. The PDSM and
DSM were fed by CDMA signals with bandwidths of 1600
kHz and 400 kHz, respectively. The clock frequencies
(sampling frequency) of the DSM and PDSM were 25 MHz.
As shown in Fig. 14, with the help of parallel processing, the
PDSM allows for an increase of the modulation bandwidth by
a factor of 4 compared to DSM, while maintaining a
comparable noise shaping performance. The power
consumption of power amplifier in a PDSM based transmitter
is of the order of 10 Watt.

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VOLUME 5 ISSUE 1 – MAY 2015 - ISSN: 2349 - 9303
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Therefore power consumption of PDSM is negligible
compared to total power consumption of the transmitter. The
multi-stage noise shaping (MASH) structure is also an
alternative delta sigma structure which is simple for
implementation and it isunconditionally stable.
5. OUTPUT
Fig 6 :Transmit signal with noise
Fig 7: Transmitting signal with high SNR
Fig 8: Filter using reduced noise
Fig 9: Reduced SNR

5. INTERNATIONAL JOURNAL FOR TRENDS IN ENGINEERING & TECHNOLOGY
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Fig 10: Bandwidth
CONCLUSION
The delta-sigma modulation with a smaller oversampling
rate. We proposed architecture uses the concept of parallel
processing to achieve the effect of oversampling without the
need for a high sampling frequency. The proposed structure
has been validated through MATLAB simulation. Simulation
results show that for a DSM with OSR = 256, the proposed
structure is able to fold the required OSR 16 times while
maintaining the same signal to noise (SNR) ratio. Increase
the bandwidth of output signal four times without increasing
the processing frequency.
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