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Slow-Time FDA-MIMO Technique With Application to STAP Radar.

Authors :
Wen, Cai
Huang, Yan
Peng, Jinye
Wu, Jianxin
Zheng, Guimei
Zhang, Yuhong
Source :
IEEE Transactions on Aerospace & Electronic Systems. Feb2022, Vol. 58 Issue 1, p74-95. 22p.
Publication Year :
2022

Abstract

Unlike the conventional phased array, the frequency-diverse array (FDA) employs a tiny frequency increment across the array elements, which is capable of providing range–angle–time-dependent beampattern, and thereby offers potential benefits in target localization and interference mitigation. Reported literature on FDA mostly focuses on its intrapulse (fast-time) property and ignores the interpulse (slow-time) feature induced by frequency offset. In this article, incorporating the neglected inherent slow-time coding feature, a novel slow-time FDA multiple-input multiple-output (FDA-MIMO) technique is proposed for the space-time adaptive processing (STAP) radar. The new coding scheme can separate transmitting (Tx) signals via slow-time Doppler filtering, and the problem of signal aliasing is tackled by appropriately designing the slow-time codes. At the receiving (Rx) side, two Rx schemes are devised for recovering range-dependent Tx degrees-of-freedom. Moreover, the relevant clutter rank and the rule for code design are derived in detail. The outstanding merits of the proposed slow-time FDA-MIMO STAP radar consist of the following: There is no specific restriction on the probing waveform; the negative effect of time-variant pattern is perfectly eliminated; and both the target localization accuracy and clutter suppression performance are superior over the state-of-the-art FDA radar systems. Numerical results corroborate the superiorities of the proposed waveform strategy for STAP application. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00189251
Volume :
58
Issue :
1
Database :
Academic Search Index
Journal :
IEEE Transactions on Aerospace & Electronic Systems
Publication Type :
Academic Journal
Accession number :
155186518
Full Text :
https://doi.org/10.1109/TAES.2021.3098100