基于协方差差分的近场源定位参量估计

doi:10.12263/DZXB.20141438

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电子学报 ›› 2021, Vol. 49 ›› Issue (1) : 177-182. DOI: 10.12263/DZXB.20141438

学术论文

基于协方差差分的近场源定位参量估计

秦宇镝, 孙晓颖, 刘国红

作者信息 +

Passive Localization for Near-Field Sources Based on Covariance Difference

QIN Yu-di, SUN Xiao-ying, LIU Guo-hong

Author information +

文章历史 +

摘要

提出一种基于空间差分技术的近场源方位角和距离联合估计新算法.算法利用平稳噪声协方差矩阵关于主对角线对称的特点，构造近场源定位模型下的空间差分矩阵.推导并证明了该矩阵的谱分解特性，以此为基础确定噪声子空间，借助谱峰搜索实现定位参量估计.算法通过对消噪声分量有效降低了未知平稳噪声对定位精度的影响，同时避免了应用差分技术解决信源定位时出现的伪峰问题.均方根误差的仿真结果证明了算法的有效性.

Abstract

An algorithm for estimation of direction of arrival (DOA) and range of near field source based on the spatial differential technique is proposed in this paper. The algorithm firstly utilizes the feature that the stationary noise covariance matrix is symmetrical about the main diagonal and constructs the spatial difference matrix only containing the target signal location information. Then, it proves the distribution characteristics of the matrix eigenvalues and selects the noise subspace reasonably. Finally, the DOA and range estimations for near-field sources can be obtained through the spectral searching. The algorithm can effectively suppresses the unknown stationary noise and avoid the pseudo peak problems for the application of the spatial differential method when used to solve the source localization. Computer simulations confirm the satisfactory performance of the proposed algorithm.

导出引用

秦宇镝, 孙晓颖, 刘国红. 基于协方差差分的近场源定位参量估计[J]. 电子学报, 2021, 49(1): 177-182. https://doi.org/10.12263/DZXB.20141438

QIN Yu-di, SUN Xiao-ying, LIU Guo-hong. Passive Localization for Near-Field Sources Based on Covariance Difference[J]. Acta Electronica Sinica, 2021, 49(1): 177-182. https://doi.org/10.12263/DZXB.20141438

中图分类号： TN911.7

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