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 Generalized Wideband Cyclic MUSIC | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 539727 8 pages doi 2009 539727 Research Article Generalized Wideband Cyclic MUSIC Zhang-Meng Liu Zhi-Tao Huang and Yi-Yu Zhou Department of Electronic Science and Engineering National University of Defense Technology of China Changsha Hunan 410073 China Correspondence should be addressed to Zhang-Meng Liu liuzmcn@ Received 7 March 2009 Revised 8 June 2009 Accepted 12 August 2009 Recommended by Irene Gu The method of Spectral Correlation-Signal Subspace Fitting SC-SSF fails to separate wideband cyclostationary signals with coherent second-order cyclic statistics SOCS . Averaged Cyclic MUSIC ACM method made up for the drawback to some degree via temporally averaging the cyclic cross-correlation of the array output. This paper interprets ACM from another perspective and proposes a new DOA estimation method by generalizing ACM for wideband cyclostationary signals. The proposed method successfully makes up for the aforementioned drawback of SC-SSF and obtains a more satisfying performance than ACM. It is also demonstrated that ACM is a simplified form of the proposed method when only a single spectral frequency is exploited and the integration of the frequencies within the signal bandwidth helps the new method to outperform ACM. Copyright 2009 Zhang-Meng Liu 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. 1. Introduction Most of the communication and radar signals show a special kind of periodicity called cyclostationarity because of artificial coding and modulation 1 . Gardner introduced cyclostationarity into array signal processing and proposed the method of Cyclic MUSIC and Cyclic ESPRIT 2 . Charge et al. extended Cyclic MUSIC by exploiting both the cyclic correlation and conjugate
