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International Journal of Antennas and Propagation
Volume 2015 (2015), Article ID 471374, 9 pages
http://dx.doi.org/10.1155/2015/471374
Research Article

Joint DOA and Polarization Estimation for Unequal Power Sources

1Harbin Institute of Technology, School of Electronics and Information Engineering, Harbin 150001, China
2Beijing Huahang Radio Measurement & Research Institute, Beijing 100013, China

Received 1 October 2014; Accepted 15 January 2015

Academic Editor: Heng-Tung Hsu

Copyright © 2015 Qingyuan Fang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

For most joint direction of arrival (DOA) and polarization estimation methods, the performances of proposed methods in dealing with unequal power sources are not discussed. However, sources with unequal powers apparently exist widely in actual applications. In this study, we propose a joint DOA and polarization estimation method for unequal power sources by utilizing the invariance property of noise subspace (IPNS) to the power of sources. This work extends the IPNS method to the dual polarized antenna array for joint DOA and polarization estimation. Moreover, we theoretically prove that the IPNS remains valid even when the sources are correlated. The computer simulations illustrate that the proposed method can effectively estimate the DOA and polarization parameters as the power difference between sources increases, as opposed to the polarimetric multiple signal classification (MUSIC) algorithm, which suffers from degradation in resolution probability. In addition, the performances of the proposed method are provided, as well the Cramer Rao Bound (CRB), which show approximate performance as the polarimetric MUSIC algorithm.