TAILIEUCHUNG - Báo cáo hóa học: " Research Article High-Resolution Source Localization Algorithm Based on the Conjugate Gradient"

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 High-Resolution Source Localization Algorithm Based on the Conjugate Gradient | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 73871 9 pages doi 2007 73871 Research Article High-Resolution Source Localization Algorithm Based on the Conjugate Gradient Hichem Semira 1 Hocine Belkacemi 2 and Sylvie Marcos2 1 Departement d electronique Universite d Annaba BP 12 Sidi Amar Annaba 23000 Algeria 2Laboratoire des Signaux etSyst emes LSS CNRS 3 Rue Joliot-Curie Plateau du Moulon 91192 Gif-sur-Yvette Cedex France Received 28 September 2006 Revised 5 January 2007 Accepted 25 March 2007 Recommended by Nicola Mastronardi This paper proposes a new algorithm for the direction of arrival DOA estimation of P radiating sources. Unlike the classical subspace-based methods it does not resort to the eigendecomposition of the covariance matrix of the received data. Indeed the proposed algorithm involves the building of the signal subspace from the residual vectors of the conjugate gradient CG method. This approach is based on the same recently developed procedure which uses a noneigenvector basis derived from the auxiliary vectors AV . The AV basis calculation algorithm is replaced by the residual vectors of the CG algorithm. Then successive orthogonal gradient vectors are derived to form a basis of the signal subspace. A comprehensive performance comparison of the proposed algorithm with the well-known MUSIC and ESPRIT algorithms and the auxiliary vectors AV -based algorithm was conducted. It shows clearly the high performance of the proposed CG-based method in terms of the resolution capability of closely spaced uncorrelated and correlated sources with a small number of snapshots and at low signal-to-noise ratio SNR . Copyright 2007 Hichem Semira 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 Array processing deals .

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