%0 Generic %1 noauthororeditor %A Hou, Huijun %A Mao, Xingpeng %B CCECE %D 2017 %K DOA oblique projection %T Oblique projection and sparse reconstruction based DOA estimation of hybrid completely and partially polarized signals with arbitrary polarimetric arrays %U http://dblp.uni-trier.de/db/conf/ccece/ccece2017.html#HouM17 %X In this paper, we address the direction-of-arrival (DOA) estimation problem of hybrid completely polarized (CP) and partially polarized (PP) source signals with arbitrary polarimetric arrays. Firstly, oblique projection filtering operators, which are insensitive to the state of polarization of signals, are used to separate potential source signals in the spatial domain. Secondly, the DOA estimates are obtained via identifying the spatially sparse structure of the sources with the separated signals. The analysis indicates that the proposed algorithm is applicable to DOA estimation of any hybrid CP and PP signals, and is independent of special polarimetric array configurations. Numerical simulation results verify the effectiveness of the proposed algorithm. Furthermore, it is shown that the proposed algorithm has distinct advantages over the comparing algorithms in terms of estimation accuracy or success probability.

@conference{noauthororeditor, abstract = {In this paper, we address the direction-of-arrival (DOA) estimation problem of hybrid completely polarized (CP) and partially polarized (PP) source signals with arbitrary polarimetric arrays. Firstly, oblique projection filtering operators, which are insensitive to the state of polarization of signals, are used to separate potential source signals in the spatial domain. Secondly, the DOA estimates are obtained via identifying the spatially sparse structure of the sources with the separated signals. The analysis indicates that the proposed algorithm is applicable to DOA estimation of any hybrid CP and PP signals, and is independent of special polarimetric array configurations. Numerical simulation results verify the effectiveness of the proposed algorithm. Furthermore, it is shown that the proposed algorithm has distinct advantages over the comparing algorithms in terms of estimation accuracy or success probability.}, added-at = {2017-07-02T09:36:54.000+0200}, author = {Hou, Huijun and Mao, Xingpeng}, biburl = {https://www.bibsonomy.org/bibtex/2c2a4afd10c039cace6d9099c8069a456/wychpg}, booktitle = {CCECE}, interhash = {4d8e5235f56ccdbf15fd8b831be6806e}, intrahash = {c2a4afd10c039cace6d9099c8069a456}, keywords = {DOA oblique projection}, timestamp = {2017-07-02T09:39:33.000+0200}, title = {Oblique projection and sparse reconstruction based DOA estimation of hybrid completely and partially polarized signals with arbitrary polarimetric arrays}, url = {http://dblp.uni-trier.de/db/conf/ccece/ccece2017.html#HouM17}, year = 2017 }