Source localization using vector sensor array in a multipath environment

Source localization using vector sensor array in a multipath environment
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DOI:
10.1109/tsp.2004.836456
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发表时间:
2004-11-01
影响因子:
5.4
通讯作者:
Shavit, R
Shavit, R
中科院分区:
工程技术1区
文献类型:
--
作者:
Rahamim, D;Tabrikian, J;Shavit, R

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来自不同方向的相干信号是多径传播效应的自然表征。本文研究了矢量传感器阵列相干/完全相关源定位问题。推导了信源波达方向(DOA)和信号极化参数的最大似然(ML)和最小方差无失真响应(MVDR)估计器。这些估计器不需要搜索极化参数。此外,提出了一种新的方法来“解相关”的入射信号。该方法基于极化平滑算法(PSA),并且使得能够使用基于特征结构的技术,该技术假设不相关或部分相关的信号。该方法被实现为应用基于特征结构的技术,如MUSIC之前的预处理阶段。不同于其他现有的预处理技术,如空间平滑和前向-后向(FB)平均,该方法不限于任何特定的阵列几何形状。建议PSA预处理结合MUSIC的性能进行评估,并比较克拉美-罗界(CRB)和ML和MVDR估计。仿真结果表明,MVDR和PSA-MUSIC渐近实现CRB的场景有两个相干源和不相关的干扰源。还通过仿真研究了PSA-MUSIC对源极化的敏感性。
Coherent signals from distinct directions is a natural characterization of the multipath propagation effect. This paper addresses the problem of coherent/fully correlated source localization using vector sensor arrays. The maximum likelihood (ML) and minimum-variance distortionless response (MVDR) estimators for source direction-of-arrival (DOA) and signal polarization parameters are derived. These estimators require no search over the polarization parameters. In addition, a novel method for "decorrelating" the incident signals is presented. This method is based on the polarization smoothing algorithm (PSA) and enables the use of eigenstructure-based techniques, which assume uncorrelated or partially correlated signals. The method is implemented as a preprocessing stage before applying eigenstructure-based techniques, such as MUSIC. Unlike other existing preprocessing techniques, such as spatial smoothing and forward-backward (FB) averaging, this method is not limited to any specific array geometry. The performance of the proposed PSA preprocessing combined with MUSIC is evaluated and compared to the Cramer-Rao Bound (CRB) and the ML and MVDR estimators. Simulation results show that the MVDR and PSA-MUSIC asymptotically achieve the CRB for a scenario with two coherent sources with and without an uncorrelated interference source. A sensitivity study of PSA-MUSIC to source polarization was also conducted via simulations.