Frequency Increment Design Method of MR-FDA-MIMO Radar for Interference Suppression

In the present complex electromagnetic environment, radar target detection is threatened by different kinds of interferences, especially mainlobe deceptive interference, which occupies the same energy distributions of targets spatially, meaning that targets and interferences cannot be discriminated....

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Main Authors: Zhixia Wu, Shengqi Zhu, Jingwei Xu, Lan Lan, Ximin Li, Yiqun Zhang
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/15/16/4070
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author Zhixia Wu
Shengqi Zhu
Jingwei Xu
Lan Lan
Ximin Li
Yiqun Zhang
author_facet Zhixia Wu
Shengqi Zhu
Jingwei Xu
Lan Lan
Ximin Li
Yiqun Zhang
author_sort Zhixia Wu
collection DOAJ
description In the present complex electromagnetic environment, radar target detection is threatened by different kinds of interferences, especially mainlobe deceptive interference, which occupies the same energy distributions of targets spatially, meaning that targets and interferences cannot be discriminated. To make matters worse, the number of suppressible interferences is limited by the number of physical array elements, leading to the degradation of the suppression performance of traditional radar. In this work, we propose a frequency-increment-based interference suppression method for minimum redundancy frequency diverse array multiple-input multiple-output (MR-FDA-MIMO) radar, which effectively solves the aforementioned two problems. The interference suppression method consists of two steps: (i) in the sidelobe barrage interference suppression stage, the interference-plus-noise covariance matrix is reconstructed to overcome the influence of the true targets and mainlobe deceptive interference on the performance of the beamformer; (ii) in the mainlobe deceptive interference suppression stage, a nonadaptive beamforming method is employed to suppress mainlobe deceptive interference and overcome the impact of insufficient virtual samples on interference suppression performance. Additionally, we design a frequency-increment-based MR-FDA-MIMO radar, fully utilizing the advantages of the virtual array to enhance interference suppression performance and increase the number of interferences. Numerical experiments undertaken demonstrate the effectiveness of the algorithm under different scenarios.
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spelling doaj.art-3abc826481684bc9a893b0e42b1ee3ee2023-11-19T02:54:08ZengMDPI AGRemote Sensing2072-42922023-08-011516407010.3390/rs15164070Frequency Increment Design Method of MR-FDA-MIMO Radar for Interference SuppressionZhixia Wu0Shengqi Zhu1Jingwei Xu2Lan Lan3Ximin Li4Yiqun Zhang5National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, ChinaNational Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, ChinaNational Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, ChinaNational Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, ChinaNational Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, ChinaNational Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, ChinaIn the present complex electromagnetic environment, radar target detection is threatened by different kinds of interferences, especially mainlobe deceptive interference, which occupies the same energy distributions of targets spatially, meaning that targets and interferences cannot be discriminated. To make matters worse, the number of suppressible interferences is limited by the number of physical array elements, leading to the degradation of the suppression performance of traditional radar. In this work, we propose a frequency-increment-based interference suppression method for minimum redundancy frequency diverse array multiple-input multiple-output (MR-FDA-MIMO) radar, which effectively solves the aforementioned two problems. The interference suppression method consists of two steps: (i) in the sidelobe barrage interference suppression stage, the interference-plus-noise covariance matrix is reconstructed to overcome the influence of the true targets and mainlobe deceptive interference on the performance of the beamformer; (ii) in the mainlobe deceptive interference suppression stage, a nonadaptive beamforming method is employed to suppress mainlobe deceptive interference and overcome the impact of insufficient virtual samples on interference suppression performance. Additionally, we design a frequency-increment-based MR-FDA-MIMO radar, fully utilizing the advantages of the virtual array to enhance interference suppression performance and increase the number of interferences. Numerical experiments undertaken demonstrate the effectiveness of the algorithm under different scenarios.https://www.mdpi.com/2072-4292/15/16/4070frequency diverse arraymultiple-input multiple-output radarminimum redundancy arraynonadaptive beamformingfrequency increment
spellingShingle Zhixia Wu
Shengqi Zhu
Jingwei Xu
Lan Lan
Ximin Li
Yiqun Zhang
Frequency Increment Design Method of MR-FDA-MIMO Radar for Interference Suppression
Remote Sensing
frequency diverse array
multiple-input multiple-output radar
minimum redundancy array
nonadaptive beamforming
frequency increment
title Frequency Increment Design Method of MR-FDA-MIMO Radar for Interference Suppression
title_full Frequency Increment Design Method of MR-FDA-MIMO Radar for Interference Suppression
title_fullStr Frequency Increment Design Method of MR-FDA-MIMO Radar for Interference Suppression
title_full_unstemmed Frequency Increment Design Method of MR-FDA-MIMO Radar for Interference Suppression
title_short Frequency Increment Design Method of MR-FDA-MIMO Radar for Interference Suppression
title_sort frequency increment design method of mr fda mimo radar for interference suppression
topic frequency diverse array
multiple-input multiple-output radar
minimum redundancy array
nonadaptive beamforming
frequency increment
url https://www.mdpi.com/2072-4292/15/16/4070
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