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Fractional Fourier transform-based chirp radars for countering self-protection frequency-shifting jammers

Published online by Cambridge University Press:  03 April 2017

Samer Baher Safa Hanbali  and
Radwan Kastantin
Samer Baher Safa Hanbali*
Affiliation:
Department of Communication Engineering, Higher Institute of Applied Sciences and Technology, Damascus, Syria
Radwan Kastantin
Affiliation:
Department of Communication Engineering, Higher Institute of Applied Sciences and Technology, Damascus, Syria
*
Corresponding author: S.B.S. Hanbali Email: [email protected]
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Abstract

Self-protection deceptive jammers create at the radar receiver output multiple-false targets that are impossible to isolate in both time and frequency domains. In this paper, we introduce a novel technique based on fractional Fourier transform (FrFT) to discriminate between the true target echo and those false targets in the case of frequency-shifting jammers. In fact, we exploit the capability of the FrFT to resolve, in a matched manner, spectra that are overlapping in time and frequency. This is a property that cannot be achieved using a standard matched filter. The theoretical analysis of this technique is presented and its effectiveness is verified by simulation.

Keywords

Chirp radarsFrequency-shifting jammingAnti-jamming techniqueFractional Fourier transform
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 9 , Special Issue 8: Biomedical Applications of RF/Microwave and Optics Technologies , October 2017 , pp. 1687 - 1693
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2017 

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