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

Yibin Liu; Chunyang Wang1; Jian GongMing Tan

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

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

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摘要

By combining multiple input multiple output (MIMO) technology and multiple matched filterswith frequency diverse array (FDA), FDA-MIMO radar can be used to achieve two-dimensionaltarget localization with range and angle. In this paper, we propose two FDA-MIMO multi-pulsetarget localization methods based on tensor decomposition. Based on the canonical polyadicdecomposition theory, the signal models of CPD-DP-FDA with double-pulse and CPD-SPFDAwith stepped frequency pulses are established. By analyzing the signal processing proceduresof the two schemes, the indicator beampattern used for target localization is obtained.The parameter estimation accuracy of the proposed method is investigated in single targetand 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 decompositioncan effectively solve the problem of multi-target indication ambiguity. The targetpositioning effect can be further improved by combining stepped frequency pulses. The derivationof Cramer–Rao Lower Bound (CRLB) demonstrates the superiority of the method.

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来源
《International journal of microwave and wireless technologies》 |2022年第10期|1250-1261|共12页
作者
Yibin Liu; Chunyang Wang1; Jian GongMing Tan;
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作者单位

Air and missile Defense College, Air Force Engineering University, Xi’an, China;

College of Information andCommunication, National University of Defense Technology, Changsha, China;

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正文语种英语
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Frequency diverse array (FDA); multiple-input and multiple-output (MIMO); tensor decomposition; target localization; twodimensional;

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

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