Suppression approach to main-beam deceptive jamming in FDA-MIMO radar using nonhomogeneous sample detection

Lan, L., Liao, G., Xu, J., Zhang, Y. and Fioranelli, F. (2018) Suppression approach to main-beam deceptive jamming in FDA-MIMO radar using nonhomogeneous sample detection. IEEE Access, 6, pp. 34582-34597. (doi:10.1109/ACCESS.2018.2850816)

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Abstract

Suppressing the main-beam deceptive jamming in traditional radar systems is challenging. Furthermore, the observations corrupted by false targets generated by smart deceptive jammers, which are not independent and identically distributed because of the pseudo-random time delay. This in turn complicates the task of jamming suppression. In this paper, a new main-beam deceptive jamming suppression approach is proposed, using nonhomogeneous sample detection in the frequency diverse array-multiple-input and multiple-output radar with non-perfectly orthogonal waveforms. First, according to the time delay or range difference, the true and false targets are discriminated in the joint transmit-receive spatial frequency domain. Subsequently, due to the range mismatch, the false targets are suppressed through a transmit-receive 2-D matched filter. In particular, in order to obtain the jamming-plus-noise covariance matrix with high accuracy, a nonhomogeneous sample detection method is developed. Simulation results are provided to demonstrate the detection performance of the proposed approach.

Item Type:Articles
Additional Information:This work was supported in part by the National Key Research and Development Program of China under Grant 2016YFE0200400, the National Nature Science Foundation of China (NSFC) under Grants 61621005, the China Postdoctoral Science Foundation under Grants 2016M590925 and 2017T100728.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Fioranelli, Dr Francesco
Authors: Lan, L., Liao, G., Xu, J., Zhang, Y., and Fioranelli, F.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:IEEE Access
Publisher:IEEE
ISSN:2169-3536
ISSN (Online):2169-3536
Published Online:26 June 2018
Copyright Holders:Copyright © 2018 IEEE
First Published:First published in IEEE Access 6:34582-34597
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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