Fast target localization and the mutual coupling self-calibration algorithm for bistatic MIMO radar

被引：1

作者：

Guo, Yiduo ^{[1
]}

Zhang, Yongshun ^{[1
]}

Zhang, Linrang ^{[2
]}

Tong, Ningning ^{[1
]}

机构：

[1] Missile Institute, Air Force Engineering University

[2] National Key Lab. of Radar Signal Processing, Xidian Univ.

来源：

Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University | 2012年 / 39卷 / 05期

关键词：

Bistatic MIMO radar; Localization; Mutual coupling; Self-calibration;

D O I：

10.3969/j.issn.1001-2400.2012.05.012

中图分类号：

学科分类号：

摘要：

By exploiting the banded symmetric and Toeplitz matrix model for the mutual coupling of uniformly linear array (ULA), an ESPRIT-based target localization and mutual coupling self-calibration algorithm is proposed for bistatic MIMO radar. The 2-dimensional (2-D) angles and mutual coupling parameters can be decoupled by smart choosing of subarrays for the ESPRIT method, and favorable 2-D angle estimation can be provided without the knowledge of the sensor mutual coupling matrix. Based on the estimated 2-D angles, an accurate estimation of the mutual coupling matrix can also be achieved for the self-calibration of bistatic MIMO radar. The 2-D angles estimation and mutual coupling estimation could be completed without any angle-searching and iterative procedure, so its computational burden is low. The correction and efficiency of the proposed algorithm are verified by the computer simulation results.

引用

页码：66 / 71+90

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