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 Cumulant-Based Coherent Signal Subspace Method for Bearing and Range Estimation Zineb Saidi1 and Salah Bourennane2 | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 84576 9 pages doi 2007 84576 Research Article Cumulant-Based Coherent Signal Subspace Method for Bearing and Range Estimation Zineb Saidi1 and Salah Bourennane2 1 EA 3634 Institut de Recherche de Ecole Navale IRENav Ecole Navale Lanveoc Poulmic BP 600 29240 Brest-Armees France 2 Institut Fresnel UMR CNRS 6133 Universite Paul Cezanne Aix-Marseille III EGIM DU de Saint Jerome 13397 Marseille Cedex20 France Received 27 July 2005 Revised 30 May 2006 Accepted 11 June 2006 Recommended by C. Y. Chi A new method for simultaneous range and bearing estimation for buried objects in the presence of an unknown Gaussian noise is proposed. This method uses the MUSIC algorithm with noise subspace estimated by using the slice fourth-order cumulant matrix of the received data. The higher-order statistics aim at the removal of the additive unknown Gaussian noise. The bilinear focusing operator is used to decorrelate the received signals and to estimate the coherent signal subspace. A new source steering vector is proposed including the acoustic scattering model at each sensor. Range and bearing of the objects at each sensor are expressed as a function of those at the first sensor. This leads to the improvement of object localization anywhere in the near-field or in the far-field zone of the sensor array. Finally the performances of the proposed method are validated on data recorded during experiments in a water tank. Copyright 2007 Hindawi Publishing Corporation. All rights reserved. 1. INTRODUCTION Noninvasive range and bearing estimation of buried objects in the underwater acoustic environment has received considerable attention. Many studies have been recently developed. Some of them use acoustic scattering to localize objects by analyzing acoustic resonance in the time-frequency domain but these processes are usually limited to simple shaped objects 1 . In the same way .
