tailieunhanh - Báo cáo toán học: " 2D DOA estimation with sparse uniform circular arrays in the presence of mutual coupling"

Tuyển tập các báo cáo nghiên cứu khoa học ngành toán học được đăng trên tạp chí toán học quốc tế đề tài: 2D DOA estimation with sparse uniform circular arrays in the presence of mutual coupling | EURASIP Journal on Advances in Signal Processing SpringerOpen0 This Provisional PDF corresponds to the article as it appeared upon acceptance. Fully formatted PDF and full text HTML versions will be made available soon. 2D DOA estimation with sparse uniform circular arrays in the presence of mutual coupling EURASIP Journal on Advances in Signal Processing 2011 2011 127 doi 1687-6180-2011-127 Julan Xie xiezhu0415@ Zishu He zshe@ Huiyong Li hyli@ Jun Li lijun@ ISSN 1687-6180 Article type Research Submission date 15 August 2011 Acceptance date 8 December 2011 Publication date 8 December 2011 Article URL http content 2011 1 127 This peer-reviewed article was published immediately upon acceptance. It can be downloaded printed and distributed freely for any purposes see copyright notice below . For information about publishing your research in EURASIP Journal on Advances in Signal Processing go to http authors instructions For information about other SpringerOpen publications go to http 2011 Xie etal. licensee Springer. This is an open access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 2D DOA estimation with sparse uniform circular arrays in the presence of mutual coupling Julan Xie Zishu He Huiyong Li and Jun Li School of Electronic Engineering University of Electronic Science and Technology of China Chengdu Sichuan 611731 China Corresponding author xiezhu0415@ Email addresses ZH zshe@ HL hyli@ JL lijun@ Abstract In this article we consider the uniform circular arrays UCAs with the number of antenna elements insufficient to apply the traditional beamspace-based algorithms which are labeled as sparse UCAs.