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FDA-MIMO for target localization via multi-pulse tensor decomposition

Published online by Cambridge University Press:  12 January 2022

Yibin Liu Open the ORCID record for Yibin Liu [Opens in a new window] ,
Chunyang Wang ,
Jian Gong  and
Ming Tan
Yibin Liu
Affiliation:
Air and missile Defense College, Air Force Engineering University, Xi'an, China
Chunyang Wang
Affiliation:
Air and missile Defense College, Air Force Engineering University, Xi'an, China
Jian Gong*
Affiliation:
Air and missile Defense College, Air Force Engineering University, Xi'an, China
Ming Tan
Affiliation:
College of Information and Communication, National University of Defense Technology, Changsha, China
*
Author for correspondence: Jian Gong, E-mail: [email protected]
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Abstract

By combining multiple input multiple output (MIMO) technology and multiple matched filters with frequency diverse array (FDA), FDA-MIMO radar can be used to achieve two-dimensional target localization with range and angle. In this paper, we propose two FDA-MIMO multi-pulse target localization methods based on tensor decomposition. Based on the canonical polyadic decomposition theory, the signal models of CPD-DP-FDA with double-pulse and CPD-SP-FDA with stepped frequency pulses are established. By analyzing the signal processing procedures of the two schemes, the indicator beampattern used for target localization is obtained. The parameter estimation accuracy of the proposed method is investigated in single target and multiple targets scenarios, and the proposed method is compared with the traditional double-pulse method. The results show that the target localization method based on tensor decomposition can effectively solve the problem of multi-target indication ambiguity. The target positioning effect can be further improved by combining stepped frequency pulses. The derivation of Cramer–Rao Lower Bound (CRLB) demonstrates the superiority of the method.

Keywords

Frequency diverse array (FDA)multiple-input and multiple-output (MIMO)tensor decompositiontarget localizationtwo-dimensional
Type
Radar
Information
International Journal of Microwave and Wireless Technologies , Volume 14 , Issue 10 , December 2022 , pp. 1250 - 1261
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Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press in association with the European Microwave Association

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