Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Decoupled Estimation of 2D DOA for Coherently Distributed Sources Using 3D Matrix Pencil Method | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008 Article ID417157 7 pages doi 2008 417157 Research Article Decoupled Estimation of 2D DOA for Coherently Distributed Sources Using 3D Matrix Pencil Method Zhang Gaoyi and Tang Bin School of Electronic Engineering University of Electronic Science and Technology of China Chengdu 610054 China Correspondence should be addressed to Zhang Gaoyi gaoyzhang@ Received 31 January 2008 Revised 17 May 2008 Accepted 13 July 2008 Recommended by S. Gannot A new 2D DOA estimation method for coherently distributed CD source is proposed. CD sources model is constructed by using Taylor approximation to the generalized steering vector GSV whereas the angular and angular spread are separated from signal pattern. The angular information is in the phase part of the GSV and the angular spread information is in the module part of the GSV thus enabling to decouple the estimation of 2D DOA from that of the angular spread. The array received data is used to construct three-dimensional 3D enhanced data matrix. The 2D DOA for coherently distributed sources could be estimated from the enhanced matrix by using 3D matrix pencil method. Computer simulation validated the efficiency of the algorithm. Copyright 2008 Z. Gaoyi and T. Bin. 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. 1. INTRODUCTION In many applications such as wireless communications radar and sonar the effect of angular spread can no longer be ignored. A distributed source model will be more appropriate 1 2 . Distributed source is classified as coherently distributed CD source and incoherently distributed ICD source in literature 2 where angular signal density of the sources is used to form the distributed model. When the received signal components from a source at .
