Networked FDA-MIMO radar positioning to suppress dense false target jamming

Autor:	Bin Xia, Yana Liu, Mingjiu Lv, Dang Xie, Hao Chen, Xiuwei Zhang
Rok vydání:	2021
Předmět:	History Computer science Real-time computing Jamming Mimo radar Computer Science Applications Education
Zdroj:	Journal of Physics: Conference Series. 1920:012061
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1920/1/012061
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::166c60ac055d5523a45962adae3c5a24 https://doi.org/10.1088/1742-6596/1920/1/012061 Zobrazit plný text záznamu