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Indexed by:期刊论文

Date of Publication:2012-03-01

Journal:SENSORS

Included Journals:SCIE、PubMed、Scopus

Volume:12

Issue:3

Page Number:3394-3417

ISSN No.:1424-8220

Key Words:complex non-orthogonal joint diagonalization; direction-of-arrival; polarization; electromagnetic vector-sensor; LU; LQ

Abstract:Joint estimation of direction-of-arrival (DOA) and polarization with electromagnetic vector-sensors (EMVS) is considered in the framework of complex-valued non-orthogonal joint diagonalization (CNJD). Two new CNJD algorithms are presented, which propose to tackle the high dimensional optimization problem in CNJD via a sequence of simple sub-optimization problems, by using LU or LQ decompositions of the target matrices as well as the Jacobi-type scheme. Furthermore, based on the above CNJD algorithms we present a novel strategy to exploit the multi-dimensional structure present in the second-order statistics of EMVS outputs for simultaneous DOA and polarization estimation. Simulations are provided to compare the proposed strategy with existing tensorial or joint diagonalization based methods.