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Cognitive null steering in frequency diverse array radars

Published online by Cambridge University Press:  29 July 2015

Sarah Saeed ,
Ijaz Mansoor Qureshi ,
Abdul Basit ,
Ayesha Salman  and
Waseem Khan
Sarah Saeed*
Affiliation:
Department of Electrical Engineering, Air University, Islamabad, Pakistan. Phone: +92519262557
Ijaz Mansoor Qureshi
Affiliation:
Department of Electrical Engineering, Air University, Islamabad, Pakistan. Phone: +92519262557
Abdul Basit
Affiliation:
Faculty of Electrical Engineering, International Islamic University, Islamabad, Pakistan
Ayesha Salman
Affiliation:
Department of Electrical Engineering, Air University, Islamabad, Pakistan. Phone: +92519262557
Waseem Khan
Affiliation:
Department of Electrical Engineering, Air University, Islamabad, Pakistan. Phone: +92519262557
*
Corresponding author: S. Saeed Email: sarahsaeed@mail.au.edu.pk
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Abstract

Null steering has been a challenge in radar communications for the past few decades. In this paper, a novel cognitive null steering technique in frequency diverse array radars using frequency offset selection is presented. The proposed system is a complete implementable framework that provides precise and deep null placement in the range and angle locations of the interference source. The proposed system is cognitive such that the transmitter and receiver are connected via a feedback loop. System extracts interference source location parameters from the radar scene using Multiple Signal Classification, a super resolution direction of arrival estimation technique. Neural networks known for minimum computation time, and good non-linear and non-parametric approximation have been utilized for prediction of next location of the interference source. Simulation results validate the proposed frequency offset selection by demonstrating precise and deep nulls at the desired locations.

Keywords

Radar applicationsRadar signal processing and system modeling
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 9 , Issue 1 , February 2017 , pp. 25 - 33
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2015 

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