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Reseach Article

Velocity Measurement for Passive Bistatic Radars using FM-radio Broadcast Signal as an Illuminating Signal

by Mahwish Saleem, Adnan Umar, M. Khalil Shahid
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 119 - Number 10
Year of Publication: 2015
Authors: Mahwish Saleem, Adnan Umar, M. Khalil Shahid
10.5120/21101-3815

Mahwish Saleem, Adnan Umar, M. Khalil Shahid . Velocity Measurement for Passive Bistatic Radars using FM-radio Broadcast Signal as an Illuminating Signal. International Journal of Computer Applications. 119, 10 ( June 2015), 6-10. DOI=10.5120/21101-3815

@article{ 10.5120/21101-3815,
author = { Mahwish Saleem, Adnan Umar, M. Khalil Shahid },
title = { Velocity Measurement for Passive Bistatic Radars using FM-radio Broadcast Signal as an Illuminating Signal },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 119 },
number = { 10 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 6-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume119/number10/21101-3815/ },
doi = { 10.5120/21101-3815 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:03:39.803902+05:30
%A Mahwish Saleem
%A Adnan Umar
%A M. Khalil Shahid
%T Velocity Measurement for Passive Bistatic Radars using FM-radio Broadcast Signal as an Illuminating Signal
%J International Journal of Computer Applications
%@ 0975-8887
%V 119
%N 10
%P 6-10
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper deals with the velocity estimation of a moving target by using bistatic radar. The illuminating signal used is an FM-Radio Broadcast signal. The main problems associated with bistatic radars are the noise and DPI (Direct Path interference). The estimation is achieved by reducing noise and direct path interference using adaptive filtering technique. The performance is computed by using simulations.

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Index Terms

Computer Science
Information Sciences

Keywords

Least Mean Square (LMS) Cross Ambiguity Function (CAF) noise cancellation Direct Path interference Cancellation (DPI) Doppler.