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Networked FDA-MIMO radar positioning to suppress dense false target jamming
Author(s) -
Hao Chen,
Yana Liu,
Mingjiu Lv,
Xiuwei Zhang,
Bin Xia,
Dang Xie
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1920/1/012061
Subject(s) - jamming , computer science , radar jamming and deception , radar , mimo , real time computing , electronic engineering , telecommunications , pulse doppler radar , engineering , channel (broadcasting) , radar imaging , physics , thermodynamics
Aiming at the dense false target jamming, the existing research does not consider the problems of true and false target identification and position estimation at the same time. A method of dense false target jamming suppression is proposed based on multiple-input multiple-output frequency diverse array (FDA-MIMO) radar network, which makes full use of the different characteristics of true and false targets in the space-time two-dimensional range distribution. It discriminates true and false targets and locates true targets and jamming sources in transmit-receive two-dimensional frequency domain. Then other radars in the information sharing network are instructed to silence sector at the location of the jamming source to reduce the jamming power into the radar. The netting radars capabilities of target detection and jamming suppression are improved by this method.

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