tailieunhanh - báo cáo hóa học:" Research Article Simulation of Matched Field Processing Localization Based on Empirical Mode Decomposition and Karhunen-Lo` ve Expansion e in Underwater Waveguide Environment"

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 Simulation of Matched Field Processing Localization Based on Empirical Mode Decomposition and Karhunen-Lo` ve Expansion e in Underwater Waveguide Environment | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 483524 7 pages doi 2010 483524 Research Article Simulation of Matched Field Processing Localization Based on Empirical Mode Decomposition and Karhunen-Loeve Expansion in Underwater Waveguide Environment Qiang Wang1 and Qin Jiang2 1 Department of Quality and Safety Engineering China Jiliang University Hangzhou Zhejiang 310018 China 2 College of Metrology and Measurement Instrument China Jiliang University Hangzhou Zhejiang 310018 China Correspondence should be addressed to Qiang Wang qiangwang@ Received 1 July 2009 Revised 26 November 2009 Accepted 22 February 2010 Academic Editor Frank Ehlers Copyright 2010 Q. Wang and Q. Jiang. 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. Mismatch problem has been one of important issues of matched field processing for underwater source detection. Experimental use of MFP has shown that robust range and depth localization is difficult to achieve. In many cases this is due to uncertainty in the environmental inputs required by acoustic propagation models. The paper presents that EMD Empirical mode decomposition processing underwater acoustic signals is motivated because it is well suited for removing specific unwanted signal components that may vary spectrally. And the Karhunen-Loeve expansion is applied on sample covariance matrix to gain a relatively uncorrupted signal. The EMD denoising scheme is combined with Karhunen-Loeve expansion to improve underwater target localization performance of matched field processing MFP . The robustness and effectiveness of the proposed method is tested by the benchmark cases numerical simulation when there had large environmental parameter uncertainties of the acoustic waveguide. 1. Introduction Matched field .

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