An efficient estimator for source localization using TD and AOA measurements in MIMO radar systems

被引：4

作者：

Liu M.-M. ^{[1
]}

Gao W. ^{[2
]}

Zhao Y. ^{[1
]}

机构：

[1] School of Electronic Engineering, Xidian University, Xi'an

[2] Beijing Sinotech Information Technology Company Ltd., Beijing

来源：

IEEE Sensors Letters | 2021年 / 5卷 / 03期

关键词：

closed-form solution; expectation of the cost function; multiple-input and multiple-output (MIMO) radar; quadratic constraint; Sensor signal processing; sensor signal processing; target localization;

D O I：

10.1109/LSENS.2021.3057363

中图分类号：

学科分类号：

摘要：

3-D target localization based on multi-input and multioutput radar systems is studied in this letter by utilizing time delay and angle of arrival measurements, which can be obtained by some local sensor signal processing methods. For such a positioning problem, the typical closed-form solution first establishes pseudolinear equation and then, applies the weighted least squares (WLS) technique to determine the final position. However, the WLS solution often suffers from performance degradation when the noise is large. To alleviate this problem, the cost function of the WLS is represented, and a quadratic constraint is imposed such that the expectation of the cost function can attain the minimum value at the true position. Moreover, simulation experiments show that the proposed method performs better than the state-of-art algorithms. © 2017 IEEE.

引用

共 14 条

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