simultaneous source localization and polarization estimation via non-orthogonal joint diagonalization with vector-sensors同步源定位和极化估计与vector-sensors通过非正交联合对角化.pdf

Sensors 2012, 12, 3394-3417; doi:10.3390/s120303394 OPEN ACCESS sensors ISSN 1424-8220 /journal/sensors Article Simultaneous Source Localization and Polarization Estimation via Non-Orthogonal Joint Diagonalization with Vector-Sensors Xiao-Feng Gong 1,*, Ke Wang 1, Qiu-Hua Lin 1, Zhi-Wen Liu 2 and You-Gen Xu 2 1 School of Information and Communication Engineering, Dalian University of Technology, No. 2 Linggong Road, Dalian 116024, China; E-Mails: k (K.W.); qhlin@ (Q.-H.L.) 2 School of Information and Electronics, Beijing Institute of Technology, 5 South Zhongguancun Street, Beijing 100081, China; E-Mails: zwliu@ (Z.-W.L.); yougenxu@ (Y.-G.X.) * Author to whom correspondence should be addressed; E-Mail: xfgong@; Tel.: +86-0411-8470-6002 ext 3410; Fax: +86-0411-8470-6706. Received: 16 January 2012; in revised form: 8 February 2012 / Accepted: 21 February 2012 / Published: 8 March 2012 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