Multi-Target Angle Tracking Algorithm for Bistatic Multiple-Input Multiple-Output (MIMO) Radar Based on the Elements of the Covariance Matrix

In this paper, we consider the problem of tracking the direction of arrivals (DOA) and the direction of departure (DOD) of multiple targets for bistatic multiple-input multiple-output (MIMO) radar. A high-precision tracking algorithm for target angle is proposed. First, the linear relationship betwe...

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Main Authors: Zhengyan Zhang, Jianyun Zhang, Qingsong Zhou, Xiaobo Li
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/18/3/805
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spelling doaj-34da474df9284ab1a5987c65bac571e22020-11-24T22:59:56ZengMDPI AGSensors1424-82202018-03-0118380510.3390/s18030805s18030805Multi-Target Angle Tracking Algorithm for Bistatic Multiple-Input Multiple-Output (MIMO) Radar Based on the Elements of the Covariance MatrixZhengyan Zhang0Jianyun Zhang1Qingsong Zhou2Xiaobo Li3National University of Defense Technology, Hefei 230037, ChinaNational University of Defense Technology, Hefei 230037, ChinaNational University of Defense Technology, Hefei 230037, ChinaNational University of Defense Technology, Hefei 230037, ChinaIn this paper, we consider the problem of tracking the direction of arrivals (DOA) and the direction of departure (DOD) of multiple targets for bistatic multiple-input multiple-output (MIMO) radar. A high-precision tracking algorithm for target angle is proposed. First, the linear relationship between the covariance matrix difference and the angle difference of the adjacent moment was obtained through three approximate relations. Then, the proposed algorithm obtained the relationship between the elements in the covariance matrix difference. On this basis, the performance of the algorithm was improved by averaging the covariance matrix element. Finally, the least square method was used to estimate the DOD and DOA. The algorithm realized the automatic correlation of the angle and provided better performance when compared with the adaptive asymmetric joint diagonalization (AAJD) algorithm. The simulation results demonstrated the effectiveness of the proposed algorithm. The algorithm provides the technical support for the practical application of MIMO radar.http://www.mdpi.com/1424-8220/18/3/805bistatic multiple input multiple output radarcovariance matrixangles trackingleast square methodhigh precision
collection DOAJ
language English
format Article
sources DOAJ
author Zhengyan Zhang
Jianyun Zhang
Qingsong Zhou
Xiaobo Li
spellingShingle Zhengyan Zhang
Jianyun Zhang
Qingsong Zhou
Xiaobo Li
Multi-Target Angle Tracking Algorithm for Bistatic Multiple-Input Multiple-Output (MIMO) Radar Based on the Elements of the Covariance Matrix
Sensors
bistatic multiple input multiple output radar
covariance matrix
angles tracking
least square method
high precision
author_facet Zhengyan Zhang
Jianyun Zhang
Qingsong Zhou
Xiaobo Li
author_sort Zhengyan Zhang
title Multi-Target Angle Tracking Algorithm for Bistatic Multiple-Input Multiple-Output (MIMO) Radar Based on the Elements of the Covariance Matrix
title_short Multi-Target Angle Tracking Algorithm for Bistatic Multiple-Input Multiple-Output (MIMO) Radar Based on the Elements of the Covariance Matrix
title_full Multi-Target Angle Tracking Algorithm for Bistatic Multiple-Input Multiple-Output (MIMO) Radar Based on the Elements of the Covariance Matrix
title_fullStr Multi-Target Angle Tracking Algorithm for Bistatic Multiple-Input Multiple-Output (MIMO) Radar Based on the Elements of the Covariance Matrix
title_full_unstemmed Multi-Target Angle Tracking Algorithm for Bistatic Multiple-Input Multiple-Output (MIMO) Radar Based on the Elements of the Covariance Matrix
title_sort multi-target angle tracking algorithm for bistatic multiple-input multiple-output (mimo) radar based on the elements of the covariance matrix
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2018-03-01
description In this paper, we consider the problem of tracking the direction of arrivals (DOA) and the direction of departure (DOD) of multiple targets for bistatic multiple-input multiple-output (MIMO) radar. A high-precision tracking algorithm for target angle is proposed. First, the linear relationship between the covariance matrix difference and the angle difference of the adjacent moment was obtained through three approximate relations. Then, the proposed algorithm obtained the relationship between the elements in the covariance matrix difference. On this basis, the performance of the algorithm was improved by averaging the covariance matrix element. Finally, the least square method was used to estimate the DOD and DOA. The algorithm realized the automatic correlation of the angle and provided better performance when compared with the adaptive asymmetric joint diagonalization (AAJD) algorithm. The simulation results demonstrated the effectiveness of the proposed algorithm. The algorithm provides the technical support for the practical application of MIMO radar.
topic bistatic multiple input multiple output radar
covariance matrix
angles tracking
least square method
high precision
url http://www.mdpi.com/1424-8220/18/3/805
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AT jianyunzhang multitargetangletrackingalgorithmforbistaticmultipleinputmultipleoutputmimoradarbasedontheelementsofthecovariancematrix
AT qingsongzhou multitargetangletrackingalgorithmforbistaticmultipleinputmultipleoutputmimoradarbasedontheelementsofthecovariancematrix
AT xiaoboli multitargetangletrackingalgorithmforbistaticmultipleinputmultipleoutputmimoradarbasedontheelementsofthecovariancematrix
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