TAILIEUCHUNG - Báo cáo sinh học: " Research Article Vector-Sensor Array Processing for Polarization Parameters and DOA Estimation"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học Journal of Biology đề tài: Research Article Vector-Sensor Array Processing for Polarization Parameters and DOA Estimation | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 850265 13 pages doi 2010 850265 Research Article Vector-Sensor Array Processing for Polarization Parameters and DOA Estimation Caroline Paulus and Jerome I. Mars GIPSA-Lab Departement Images Signal 961 rue de la Houille Blanche BP 46 38 402 Saint Martin d Heres Cedex France Correspondence should be addressed to Jerome I. Mars Received 13 July 2009 Revised 1 February 2010 Accepted 2 May 2010 Academic Editor Kostas Berberidis Copyright 2010 C. Paulus and J. I. Mars. 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. This paper presents a method allowing a complete characterization of wave signals received on a vector-sensor array. The proposed technique is based on wavefields separation processing and on estimation of fundamental waves attributes as the state of polarization state and the direction of arrival. Estimation of these attributes is an important step in data processing for a wide range of applications where vector sensor antennas technology is involved such as seismic processing electromagnetic fields studies and telecommunications. Compared to the classic techniques the proposed method is based on computation of multicomponent wideband spectral matrices which enable to take into account all information given by the vector sensor array structures and thus provide a complete characterization of a larger number of sources. 1. Introduction Over the past decade the use of vector-sensor array VSA technology for source localization has significantly increased allowing a better characterization of the recorded phenomena in a wide range of applications . acoustics electromagnetism radar sonar geophysics etc. 1-5 . For instance in seismic acquisition case .

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