Mainlobe maintenance for FDA-MIMO radar

During radar detection, the adaptive beamforming technique needs to create nulls to resist the interference. When the interference appears within the mainlobe, the main detection beam will become distorted. To solve this problem, a new method for the covariance matrix reconstruction is proposed for...

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Main Authors: YanJie Xu, ChunYang Wang, Jian Gong, YingJian Zhao, ChangLin Zhou
Format: Article
Language:English
Published: AIP Publishing LLC 2022-08-01
Series:AIP Advances
Online Access:http://dx.doi.org/10.1063/5.0099177
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author YanJie Xu
ChunYang Wang
Jian Gong
YingJian Zhao
ChangLin Zhou
author_facet YanJie Xu
ChunYang Wang
Jian Gong
YingJian Zhao
ChangLin Zhou
author_sort YanJie Xu
collection DOAJ
description During radar detection, the adaptive beamforming technique needs to create nulls to resist the interference. When the interference appears within the mainlobe, the main detection beam will become distorted. To solve this problem, a new method for the covariance matrix reconstruction is proposed for the mainlobe maintenance problem, and a worst-case performance optimization (WCPO) algorithm with enhanced waveform robustness is obtained. Its integration is performed over a known region without the target information to obtain the improved covariance matrix, which is then brought into the convex optimization equation to solve for the weight vector. Simulation results show that the output signal-to-noise ratio of this algorithm is higher than that of the conventional WCPO algorithm with a robust beam for the same signal-to-noise ratio. It can also effectively eliminate the primary lobe offset and secondary lobe elevation problems.
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spelling doaj.art-84ea2c6be22a4e758c69ac77e07a22272022-12-22T01:59:55ZengAIP Publishing LLCAIP Advances2158-32262022-08-01128085305085305-810.1063/5.0099177Mainlobe maintenance for FDA-MIMO radarYanJie Xu0ChunYang Wang1Jian Gong2YingJian Zhao3ChangLin Zhou4School of Air and Missile Defense, Air Force Engineering University, Xi’an 710051, Shaanxi, ChinaSchool of Air and Missile Defense, Air Force Engineering University, Xi’an 710051, Shaanxi, ChinaSchool of Air and Missile Defense, Air Force Engineering University, Xi’an 710051, Shaanxi, ChinaSchool of Electronic Science, National University of Defense Technology, Changsha 410000, Hunan, ChinaSchool of Air and Missile Defense, Air Force Engineering University, Xi’an 710051, Shaanxi, ChinaDuring radar detection, the adaptive beamforming technique needs to create nulls to resist the interference. When the interference appears within the mainlobe, the main detection beam will become distorted. To solve this problem, a new method for the covariance matrix reconstruction is proposed for the mainlobe maintenance problem, and a worst-case performance optimization (WCPO) algorithm with enhanced waveform robustness is obtained. Its integration is performed over a known region without the target information to obtain the improved covariance matrix, which is then brought into the convex optimization equation to solve for the weight vector. Simulation results show that the output signal-to-noise ratio of this algorithm is higher than that of the conventional WCPO algorithm with a robust beam for the same signal-to-noise ratio. It can also effectively eliminate the primary lobe offset and secondary lobe elevation problems.http://dx.doi.org/10.1063/5.0099177
spellingShingle YanJie Xu
ChunYang Wang
Jian Gong
YingJian Zhao
ChangLin Zhou
Mainlobe maintenance for FDA-MIMO radar
AIP Advances
title Mainlobe maintenance for FDA-MIMO radar
title_full Mainlobe maintenance for FDA-MIMO radar
title_fullStr Mainlobe maintenance for FDA-MIMO radar
title_full_unstemmed Mainlobe maintenance for FDA-MIMO radar
title_short Mainlobe maintenance for FDA-MIMO radar
title_sort mainlobe maintenance for fda mimo radar
url http://dx.doi.org/10.1063/5.0099177
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AT chunyangwang mainlobemaintenanceforfdamimoradar
AT jiangong mainlobemaintenanceforfdamimoradar
AT yingjianzhao mainlobemaintenanceforfdamimoradar
AT changlinzhou mainlobemaintenanceforfdamimoradar