title: Angle-Polarization Estimation for Coherent Sources with Linear Tripole Sensor Arrays.
abstract: We propose a parallel factor (PARAFAC) analysis-based angle and polarization estimation algorithm for multiple coherent sources using a uniformly-spaced linear tripole sensor array. By forming a PARAFAC model using the spatial signature of the tripole array, the new algorithm requires neither spatial smoothing nor vector-field smoothing to decorrelate the signal coherency. We also establish that the angle-polarization parameters of K coherent signals can be uniquely determined by PARAFAC analysis, as long as the number of tripoles L ≥ 2K - 1 . In addition, the proposed algorithm can offer enhanced angle and polarization estimation accuracy by extending the interspacing of the tripoles beyond a half wavelength.
authors.affiliation: Department of Electronic Engineering, Nanjing University of Science and Technology, Nanjing 210094, China. wk_1024@163.com.
authors.forename: Kun
authors.initials: K
authors.lastname: Wang
authors.affiliation: Shanghai Key Laboratory of Intelligent Sensing and Recognition, Department of Electronic Engineering, Shanghai Jiaotong University, Shanghai 200240, China. jinhe@sjtu.edu.cn.
authors.forename: Jin
authors.initials: J
authors.lastname: He
authors.affiliation: Shanghai Key Laboratory of Intelligent Sensing and Recognition, Department of Electronic Engineering, Shanghai Jiaotong University, Shanghai 200240, China. tingshu@sjtu.edu.cn.
authors.forename: Ting
authors.initials: T
authors.lastname: Shu
authors.affiliation: Department of Electronic Engineering, Nanjing University of Science and Technology, Nanjing 210094, China. eezliu@mail.njust.edu.cn.
authors.forename: Zhong
authors.initials: Z
authors.lastname: Liu
keywords: angle estimation; parallel factor; polarization estimation; tripole sensor