Near-Field Localization for Non-circular Sources in the Presence of Sensor Phase Uncertainties

被引:19
作者
Shu, Ting [1 ]
Li, Linna [2 ]
He, Jin [1 ]
机构
[1] Shanghai Jiao Tong Univ, Shanghai Key Lab Intelligent Sensing & Recognit, Sch Elect Informat & Elect Engn, Shanghai 200240, Peoples R China
[2] Shanghai Aerosp Elect Commun Equipment Res Inst, Dept Radar Res Ctr, Shanghai 201109, Peoples R China
基金
中国国家自然科学基金;
关键词
Signal processing algorithms; Eigenvalues and eigenfunctions; Sensor arrays; Geometry; Approximation algorithms; Phased arrays; Manifolds; Array signal processing; near-field; source localization; phase error; spatial amplitude ratio;
D O I
10.1109/LWC.2020.3037917
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We address the problem of locating multiple near-field non-circular sources in the presence of sensor phase errors. Such phase error may arise in MIMO applications where perfect phase synchronization is not achieved. Using source non-circularity and based on the virtual ESPRIT idea, we define three cumulant matrices to form two matrix pencils, whose generalized eigenvalues are dependent only on the amplitude but not on the phase of the near-field propagation geometry. We introduce a linear operator to estimate the generalized eigenvalues of the defined matrix pencils, and then apply our recently proposed SPatial Amplitude Ratio based Estimator (SPARE) approach to estimate angle and range parameters of the sources. We define the presented algorithm as Rotational SPARE (R-SPARE) since it obtains the spatial amplitudes from the rotational structures embedded in the defined matrices. R-SPARE shares all advantages offered by the SPARE. We finally examine the performance of R-SPARE via numerical simulations.
引用
收藏
页码:562 / 566
页数:5
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