Design of Digital FIR Filter for RADAR Application
Due to advancement in VLSI technology and usage of Digital signal processors in RADAR application FIR filter plays important role. Digital filters are capable
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[PDF] Design of FIR Filters
Linear phase in the stopbands is never a real requirement and in some applications strictly linear phase in the passband is not needed either The linear phase
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ISSN(Online): 2319-8753
ISSN (Print): 2347-6710
International Journal of Innovative Research in Science,Engineering and Technology
(A High Impact Factor & UGC Approved Journal)Website: www.ijirset.com
Vol. 6, Issue 9, September 2017
Copyright to IJIRSET DOI:10.15680/IJIRSET.2017.0609102 19319
Design of Digital FIR Filter for RADAR
Application
Ashwini R1, Venkataratnamm Ponnu2
M.Tech , Department of ECE, VTU extension Center UTL Technologies, Yeswantpur, Karnataka, India1 Professor, Department of ECE, VTU extension Center UTL Technologies, Yeswantpur, Karnataka, India2ABSTRACT: Digital FIR filtering is used to produce digital output by taking digital input. Digital filtering is one of
the most powerful tools of digital Signal Processing.Due to advancement in VLSI technology and usage of Digital
signal processors in RADAR application FIR filter plays important role. Digital filters are capable of performance
specifications that would, at best, be extremely difficult, if not impossible, to achieve with an analog implementation.
In addition, the characteristics of a digital filter can be easily changed under software control. This paper gives brief
overview of the basic structure and hardware characteristics of the Finite Impulse Response (FIR) digital filter.FIR
filter has been designed efficiently using DSP systems using Simulink, Mat lab, and Xilinx System Generator tool.
Xilinx offers a variety of high quality state of the art products for DSP design. we will implement a digital filter using
The Multiplier Accumulator (MAC) unit which is the basic element to implement a Digital filter on a FPGA.
KEYWORDS:Digital Signal Processing, Digital FIR filter, Mat lab Simulink , Xilinx system generator.I. INTRODUCTION
A digital filter is a system which passes some desired signals more than others to reduce or enhance certain aspcet of
that signal.Signal carries information, and the objective of signal processing is to extract useful information carried by
the signal.The method of information extraction depends on the type of signal and the nature of the information being
carried by the signal. Filters are widely employed in signal processing and communication systems in applications such
as noise reduction, channel Eequalization, Radar,audio processing, video processing and analysis of economic and
financial data. Digital Signal Processing (DSP) is an important field of study that has come about due to advances in
Communication theory, digital computer technology, and consumer devices. There is always a driving need to make
thing better and DSP provides many techniques. The filter implementation simply performs a convolution of the time
domain impulse response and the sampled signal[7].The frequency domain impulse response is then transformed into a
time domain impulse response that is the coefficients of the filter. Digital filters are two types: i) Finite Impulse
Response (FIR) and ii) Infinite Impulse Response (IIR) filters. Finite impulse response (FIR) filter is a filter whose
impulse response is of finite duration, because it settles to zero in finite time[1].FIR filters also known as feed forward
or non recursive, or traversal filters. In signal processing, a finite impulse response (FIR) filter is a filter whose impulse
response (or response to any finite length input) is of finite duration, because it settles to zero in finite time.A Finite
impulse response (FIR) filter is a filter structure that can be used to implement almost any sort of frequencyresponse
digitally. This is in contrast to infinite impulse response (IIR) filters, which may have internal feedback and may
continue to respond indefinitely. FIR filters offer the following advantages over the IIR filters: i. They can have an exact linear phase. ii. They are always stable. iii. The design methods are generally linear. iv. They can be realized efficiently in hardware.ISSN(Online): 2319-8753
ISSN (Print): 2347-6710
International Journal of Innovative Research in Science,Engineering and Technology
(A High Impact Factor & UGC Approved Journal)Website: www.ijirset.com
Vol. 6, Issue 9, September 2017
Copyright to IJIRSET DOI:10.15680/IJIRSET.2017.0609102 19320
II. DIGITAL FILTERS AND APPLICATIONS
Digital filters are used in separation and restoration of signals. Signal separation is needed when the signal has been
contaminated with interference and noise, while restoration of signal is used when a signal has been distorted in some
way. All of those filters used in radar signal processing and mentioned earlier, i.e. Lowpass Filter (LPF), MF and MTI
filters will be more reliable if they are implemented as digital filters. Digital filters are replacing analogue filters
because of their reliability and their compatibility to Digital Signal Processing (DSP).They are available in two flavors,
Finite Impulse Response (FIR) and Infinite Impulse Response (IIR) filters[7]. Although IIR filters are faster and have
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