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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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Design of Digital FIR Filter for RADAR Application

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, India2

ABSTRACT: 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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