Joint DOA and Polarization Estimation via Canonical Polyadic Decomposition With Constant Modulus Constraints
We consider the joint estimation of direction-of-arrival (DOA) and polarization of constant modulus (CM) signals based on an electromagnetic vector-sensor (EMVS) array. Two algebraic algorithms for canonical polyadic decomposition (CPD) with CM constraint are proposed in two scenarios, in which the...
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doaj-119e657e03cb460aac6e3af630d8f15c2021-03-30T00:38:06ZengIEEEIEEE Access2169-35362019-01-01716752116753310.1109/ACCESS.2019.29507328894116Joint DOA and Polarization Estimation via Canonical Polyadic Decomposition With Constant Modulus ConstraintsJin-Wei Yang0Xiao-Feng Gong1https://orcid.org/0000-0001-8360-8107Chen-Yu Xu2Qiu-Hua Lin3You-Gen Xu4Zhi-Wen Liu5School of Information and Communication Engineering, Dalian University of Technology, Dalian, ChinaSchool of Information and Communication Engineering, Dalian University of Technology, Dalian, ChinaSchool of Information and Communication Engineering, Dalian University of Technology, Dalian, ChinaSchool of Information and Communication Engineering, Dalian University of Technology, Dalian, ChinaSchool of Information and Electronics, Beijing Institute of Technology, Beijing, ChinaSchool of Information and Electronics, Beijing Institute of Technology, Beijing, ChinaWe consider the joint estimation of direction-of-arrival (DOA) and polarization of constant modulus (CM) signals based on an electromagnetic vector-sensor (EMVS) array. Two algebraic algorithms for canonical polyadic decomposition (CPD) with CM constraint are proposed in two scenarios, in which the source signals are fully and partially CM, respectively. The proposed algorithms use the analytic CM algorithm in the first step to calculate the source matrix, and then exploit the CPD structure of the data tensor to compute the remaining factor matrices, from which the DOA and polarization parameters can finally be obtained. Due to the algebraic nature, the proposed algorithms are faster and more stable than the optimization based algorithms, and can be used to effectively initialize the latter. We have shown that the proposed algorithms have more relaxed uniqueness conditions than unconstrained CPD, and thus can be applied in highly underdetermined cases where the number of source signals greatly exceeds that of the EMVSs. Simulation results are provided to illustrate the performance of the proposed algorithms.https://ieeexplore.ieee.org/document/8894116/Direction-of-arrivalpolarizationtensorcanonical polyadic decompositionconstant modulus |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jin-Wei Yang Xiao-Feng Gong Chen-Yu Xu Qiu-Hua Lin You-Gen Xu Zhi-Wen Liu |
spellingShingle |
Jin-Wei Yang Xiao-Feng Gong Chen-Yu Xu Qiu-Hua Lin You-Gen Xu Zhi-Wen Liu Joint DOA and Polarization Estimation via Canonical Polyadic Decomposition With Constant Modulus Constraints IEEE Access Direction-of-arrival polarization tensor canonical polyadic decomposition constant modulus |
author_facet |
Jin-Wei Yang Xiao-Feng Gong Chen-Yu Xu Qiu-Hua Lin You-Gen Xu Zhi-Wen Liu |
author_sort |
Jin-Wei Yang |
title |
Joint DOA and Polarization Estimation via Canonical Polyadic Decomposition With Constant Modulus Constraints |
title_short |
Joint DOA and Polarization Estimation via Canonical Polyadic Decomposition With Constant Modulus Constraints |
title_full |
Joint DOA and Polarization Estimation via Canonical Polyadic Decomposition With Constant Modulus Constraints |
title_fullStr |
Joint DOA and Polarization Estimation via Canonical Polyadic Decomposition With Constant Modulus Constraints |
title_full_unstemmed |
Joint DOA and Polarization Estimation via Canonical Polyadic Decomposition With Constant Modulus Constraints |
title_sort |
joint doa and polarization estimation via canonical polyadic decomposition with constant modulus constraints |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2019-01-01 |
description |
We consider the joint estimation of direction-of-arrival (DOA) and polarization of constant modulus (CM) signals based on an electromagnetic vector-sensor (EMVS) array. Two algebraic algorithms for canonical polyadic decomposition (CPD) with CM constraint are proposed in two scenarios, in which the source signals are fully and partially CM, respectively. The proposed algorithms use the analytic CM algorithm in the first step to calculate the source matrix, and then exploit the CPD structure of the data tensor to compute the remaining factor matrices, from which the DOA and polarization parameters can finally be obtained. Due to the algebraic nature, the proposed algorithms are faster and more stable than the optimization based algorithms, and can be used to effectively initialize the latter. We have shown that the proposed algorithms have more relaxed uniqueness conditions than unconstrained CPD, and thus can be applied in highly underdetermined cases where the number of source signals greatly exceeds that of the EMVSs. Simulation results are provided to illustrate the performance of the proposed algorithms. |
topic |
Direction-of-arrival polarization tensor canonical polyadic decomposition constant modulus |
url |
https://ieeexplore.ieee.org/document/8894116/ |
work_keys_str_mv |
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