IRJET- Decimator Filter for Hearing Aid Application Based on FPGA

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 04 | Apr-2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1175
Decimator Filter For Hearing Aid Application Based On FPGA
Miss. Tejal V. Rahate1, Dr. S. A. Ladhake2, Prof. U. S. Ghate3
1M.E. Student Sipna College of Engineering and Technology Amravati, India
2Principal Sipna College of Engineering and Technology Amravati, India
3Assistant Professor Sipna College of Engineering and Technology Amravati, India
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Abstract - The design of decimator filter requires a set of
filters for hearing aid applicationsthatgivesreasonablesignal
for the concerned type of hearing loss. Using a variable
bandwidth filter, helps a person with hearing loss tolisten and
communicate by making sounds audible and clearer. The
design of variable bandwidth filter is carried out for a set of
selected bandwidths. Each of these bands is frequency shifted
and provided with sufficient magnitude gain, such that, the
different bands combine to give a frequency response that
closely matches with audiogram. The technique employed for
the design of the filter is Canonic Signed Digit (CSD)
representation. The higher sampling rate of the signal is
decimated to low sampling rate by implementing the filter
using the multi rate approach. The two FPGA devices can be
used Spartan-3E and Virtex 2Pro. Furthermore, multi rate
filtering method is used to attain high-resolution. It may
reduce the complexity of the circuit and also the overallpower
consumed.
Key Words: Decimation filter, CIC filter, FIR Filter, FPGA,
Half Band filter, MATLAB, Xilinx.
1. INTRODUCTION
A Field Programmable Gate Arrays or FPGAs are
semiconductor devices that are based around a matrix of
configurable logic blocks (CLBs). It is an integrated circuit
that can be programmed or reprogrammed to the required
functionality or application after manufacturing. Important
characteristics of field-programmable gate arrays include
lower complexity,higherspeed,programmablefunctionsand
volume designs. Nowadays, FPGAs as cost-effective
integrated tools have many applications in the field of
communication and a growing range of other areas. Using
FPGAs for hardware acceleration in software defined radios
(SDR) offers extensive processing power to realize promised
portability of waveforms and re-configurability. The
decimation filter (decimator) is one of the basic building
blocks of a sampling rate conversion system. The decimation
filter performs two types of operations: low-pass filtering as
well as down sampling. The filter converts low resolution
high bit-ratedata tohighresolutionlowfrequencydata.Ithas
been widely used in such applications as speech processing,
radarsystems,antennasystemsandcommunicationsystems.
Considerable attention has been focused in the lastfewyears
on the design of high efficiency decimation filters. The
decimation process requires a low-pass filter of high quality
and a sampling rate converter that helps to reduce the
sampling frequency to a low level. A hearing aid is helpful for
the people having hearing loss to hear more preciselyinboth
quiet and whirring situations.
It helps a person with hearing loss to listenandcommunicate
by making sounds audible and clearer. The minimum
frequency of a person hearing is usually considered to be 20
Hz whereas the maximum limit is 20 kHz, but the ear is more
sensible toaudio from 1 KHzto 4 KHz. Thus, it is beneficial to
design a deaf aid application that operates in the desired
range of frequency and makes use of oversampling concept.
Furthermore, multi rate filtering method is used to attain
high-resolution. It can reduce the complexity of the circuit
and also the overall power consumed. There are two
important parameters whicheffects hearing. Oneisloudness
that is the intensity of sound and the other oneispitch,which
is the frequency of the fundamentalcomponent in the sound.
In 1981, Eugene Hogenauer invented a new class of
economical digital filters for decimation and interpolation
(converting the sampling rate from low to high) called a
cascaded integrator comb (CIC) filter. This filter was
composed of an integrator part and comb part. It then has
experienced some modifications towards improvements in
power consumption and frequency response. This filter is a
combination of digital integrator and digital differentiator
stages, which can perform the operation of digital low pass
filtering and decimation at the same time. In this paper, we
analyze the decimation filter using MATLAB and then
performing stimulation with Xilinx ISE or Quartus II.
2. LITERATURE REVIEW
From the last few years, there has been a vast growth in the
field of VLSI, Optimized decimation filters for wireless
communication receivers based on FPGA is use by
VennachedKarunakeroud[1],concludedpolyphaserequired
more area in comparison with CIC based filter and for both
the decimation and interpolation, CIC filters are used multi-
rate digital signal processing. Number of signal processing
algorithm have been developed by Siddharth Raghuvanshi
[2], whichallow the user to focusing on realtimesignalssuch
as speech to convert the signal with desired quality. The
digital hearing aids are performed on Application Specific
Integrated Circuit (ASIC) , not only the efficiency and
complexity of Hearing aid increases but also required more
space and because implementation of hearingaid in digitalis
not interesting task and morepowerconsumingalsoonASIC.
Stephen Colaco explains the decimator filter for audio
application using canonic signed digit (CSD) representation.
The use of the CSD multiplier design results in a multiplier
less solution to digital filters, where the complexity of design
is a function of the number of non-zero digits in the filter
coefficients. This methodhaslesspowerconsumptionaswell
as reducing the cost. R. Mehra [4] gives an easy way to

measure high speed CIC decimator for wireless applications
usingsoftware defined radios.Expensiveanti-aliasinganalog
filters are getting reduces and performing different types of
signals with different sampling rates. For the operation of
additions/subtractions, the Cascaded Integrator comb used
decimation filter which performed sample rate conversion
(SRC). L. Singh [5] In this paper, FPGA’s possess a very
attractive solution for more flexibility, time-to-market,
performance and cost. Vivek Venugopal [6]performed the
filtering at a high rate and also implemented the decimation
filter with the help of canonic signed digit (CSD) way.
Oversampling concept is usedaswellassigmadeltaanalogto
digital converters is done in hearing aid application. Abdul
Rehman Buzdar [7] used a various digital signal processing
technique in hearing aid such as Wavelet Transforms,
uniform and non-uniform filter bank and Fast Fourier
Transform (FFT). In uniform filter banks all the filters have
equal bandwidth and use a input signal sampled at the same
frequency, actually it is a group of band pass as well as high
pass filter. In this paper, it achieved acceleration and also
implementing echo cancellation, noise reduction adaptive
filtering to make hearing aid work better. Divya Naga
Padmini P represents different ways of realizing half-band
FIR low pass filter and provides comparison of critical path
delay and clock frequencies for direct form, transposed form
and DA (Distributed Arithmetic) type of architectures,Inthis
paper, because of using multipliers which gives rise to few
demerits in terms of increase in area and increase in the
delay whichultimatelyresultsinlessperformance.Toresolve
this issue, DAA (DistributedArithmetic Architecture) is used
which is a popularmethodforimplementingdigitalFIRfilters
on FPGAs through which delay can be reducedandmultiplier
less realization can be achieved. VishalAwasthiexplainsdata
rate conversion as well as filtering. In thispaper,itconsistsof
three class of filters FIR, IIR and CIC filters. IIR filters are
simpler in structure but do not satisfy linear phase
requirements which are required in time sensitive features
like a video or a speech. FIR filters have a well defined
frequency response but they require lot of hardware to store
the filter coefficients. CIC filters don’t have this drawback
they are coefficient less so hardware requirement is much
reduced but as they don’t have well defined frequency
response. So another structure is proposed which takes
advantage of good feature of both the structures and thus
have a cascade of CIC and FIR filters.
3. PROPOSED WORK
The CIC Filter: Completely in the canal is the one of
the type of hearing aid. In the structure of CIC, the sampling
rate is converted from low to high is called a cascaded
integratorcomb (CIC) filter. The comb filters donotneedany
multipliers and hence includes simple functions that are
desirable at high frequencies.The response of thecombfilter
is a low pass filter with a distinct cutoff. Due to all the above
reasons, comb filters are employed for the initial stage of
decimation. To reduce the sampling frequency, a series of
comb filters is connected, which will be used as the input to
the subsequent stages. CIC filters achieve sampling rate
decrease (decimation) and sampling rate increase
(interpolation) without using multipliers. The CIC filter first
performs the averaging operation then follows it with the
decimation. These filters require no multiplier and use
limited storage that’s why they are designated cascaded
integrator comb filters because their structure consists of an
integrator section operating at the high sampling rate and a
comb section operating at the low sampling rate. Using, CIC
filters, the amount of pass band aliasing or imaging error can
be brought within prescribed bounds by increasing the
number of stages in the filter. However, the width of the pass
band and the frequencycharacteristicsoutsidethepassband
are severelylimited. The block diagramofdecimationfilteris
as follows:
Fig 1: Block diagram of decimation filter
 Design half band FIR filter: Half-band filter is a
fundamental building block in multi rate signal
processing. Half-band filters are mostly used for their
efficiency in multi-rate applications. A half-bandfilterisa
low pass filter that reduces the maximum bandwidth of
sampled data by an approximate factor of 2 (one octave).
When multiple octaves of reductionareneeded,acascade
of half-band filters is common. Andwhenthegoalis down
sampling, each half-band filter needstocomputeonlyhalf
as many output samples as input samples. The FIR half
band filter is simple to design,hardwarecosteffectiveand
has moderatecoefficient sensitivity.Halfbandfiltershave
two important characteristics, the pass band and stop
band ripples must be the same, and the pass band-edge
and stop band-edge frequencies are equidistant from the
half band frequency.
 Using Corrector Filter: Corrector filter is used for
removing the unwanted signals. Digital filters with finite-
duration impulse response (all-zero, or FIR filters) have
the advantages are exactly linear phase, always stable as
well as the filter startup transients have finite duration.
 MATLAB based simulation: At a time of designing or
creating a decimation filter, firstly decided which type of
filters will be used for perfect getting output as well as
where decimation will occur. For implementing the
proposed structure and design flow for decimator filter
implementation are as follows:
1. Define the filter specifications such as order, filter
design, cut-off frequency, differential delay, pass
band ripple and sampling frequency.
2. Calculate the filter coefficient and stimulate in
MATLAB environment and then model Simulink
performed.
OutputInput
Comb
Filter or
CIC filter
Half
Band
FIR
Filter
Corrector
FIR
Filter

3. Getting VHDL code and after that simulation in
Model sim, finally implementation will done.
Simulation: On the basis of the simulation results the whole
system may be implementing in software using the Xilinx or
Quartus II. Xilinx ISE (Integrated SynthesisEnvironment)isa
software tool produced by Xilinx for analysis, stimulate a
design’s reaction to different stimuli,performtiminganalysis
and configure the target device with the programmer.
Quartus II is programmable logic device design software
produced by Altera, before Altera was acquired by Intel and
the tool was renamed to Intel Quartus Quartus II enables
analysis as well as synthesis of HDL designs, which enables
the developer to compile their designs, perform timing
analysis,stimulateadesign’sreactiontodifferentstimuli,and
configure the target device with the programmer.
4. APPLICATIONS
1. Used in Military, Forensic area etc.
2. For amplify the signal and also reduce the sampling
frequency to a low level.
3. A hearingaid is helpful forthepeoplehavinghearingloss
to hear more precisely in both quiet and whirring
situations.
5. CONCLUSION
As weproposed a system to an efficientmethodforthe
design of digital filters suitable for digital hearing aid. The
higher sampling rate of the signal is decimated to low
sampling rate by implementing the filter using the multi rate
approach. The decimation filter gives better results in terms
of speed, timing analysis, efficiency and resource utilization
etc. Specifications of decimator filter such as ripple factor,
number of stages, pass band frequency, cut off frequency,
Differential delay etc. will finding on the bases of filters after
simulation. Cascading several multi rate stages increases the
design efficiency, which reduces the total number of
coefficients and in turn results in hardware savings and also
less power consumptions.
REFERENCES
[1]. V. Karunakergoud, D. Kavitha, S. Swetha “Wide Band
Rate Conversion using CIC Filters for Wireless
Communication Receivers”, International Journal of
Recent Development in Engineering and
Technology(IJRDET) Vol.3, pp. 144-150, September
2014.
[2]. Siddharth Raghuvanshi1 , Subodh Goyal “Development
of Digital Signal Processing Platform for Digital Hearing
Aid”, International Journal of Advanced Research in
Electrical, Electronics andInstrumentationEngineering,
Vol. 3, Issue 2, February 2014
[3]. Stephen Colaco. "Design and Implementation of a
Decimation Filter For High Performance Audio
Applications", 2007 14th IEEE International Conference
on Electronics Circuits and Systems,12/2007.
[4]. R. Mehra, R. Arora “FPGA Based Design of High- Speed
CIC Decimation for Wireless Applications”,International
Journal of Advanced Computer Science and Application
(IJACSA), Vol.2, no.5, pp. 59-62,2011.
[5]. R. Mehra, L. Singh “FPGA Based Speed Efficient
Decimator using Distributed Arithmetic Algorithm0
(IJCA)”, Vol. 80, no. 11, pp. 37-40, October 2013.
[6]. Venugopal V and Abed, Khalid.H. ‘’Design and
implementation of a decimation filter for hearing
aidapplications’’, Proceedings IEEE Southeast Con,
pp.111 – 115, April 2005.
[7]. Abdul Rehman Buzdar, Azhar Latif, Liguo Sun, Abdullah
Buzdar, “FPGA Prototype Implementation of Digital
Hearing Aid from Software to Complete Hardware
Design”, (IJACSA) International Journal of Advanced
Computer Science and Applications, Vol. 7, No. 1, 2016
[8]. Divya Naga Padmini P, “High Speed and Multiplier less
Implementation of Half-Band Filter”, International
Journal of Engineering Research & Technology (IJERT)
Vol. 4 Issue 02, February-2015.
[9]. Vishal Awasthi, “Analysis of Cascaded Integrator Comb
(CIC) Decimation Filter in Efficient Compensation”,
International Journal of Electronics Engineering, 3 (2),
2011, pp. 203– 208.
BIOGRAPHIES
Miss. Tejal V. Rahate B.E.(Electronics
and Telecommunication), H.V.P.M’s
College Of Engineering And Technology,
Amravati, Sant Gadge Baba University,
Amravati, India.
M.E. Student (Digital Electronics), Sipna
College of Engineering and Technology,
Amravati, Sant Gadge Baba University, Amravati, India.

IRJET- Decimator Filter for Hearing Aid Application Based on FPGA

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IRJET- Decimator Filter for Hearing Aid Application Based on FPGA