Paper Info
Title
Suppression Approach to Main-Beam Deceptive Jamming in FDA-MIMO Radar Using Nonhomogeneous Sample Detection.
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.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2850816
IEEE ACCESS
Keywords
Field
DocType
Main-beam deceptive jamming,false targets,frequency diverse array radar,joint range-receive spatial frequency domain,nonhomogeneous sample detection,non-perfectly orthogonal waveforms,transmit-receive 2-D matched filter
Frequency domain,Radar,Diversity scheme,Computer science,Algorithm,Independent and identically distributed random variables,Covariance matrix,Matched filter,Jamming,Spatial frequency,Distributed computing
Journal
Volume
ISSN
Citations 
6
2169-3536
2
PageRank 
References 
Authors
0.37
0
5
Name
Order
Citations
PageRank
Lan Lan136422.89
Guisheng Liao2996126.36
Jingwei Xu322924.49
Yuhong Zhang411317.97
Francesco Fioranelli5516.54