Research of Vector Hydrophone Adaptive Signal Processing

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Abstract:

As a useful tool for line spectrum detection in underwater signal ,ALE has been used wildly. But there are still some problems to influence the effect of ALE. This paper gives three problems on ALE and analyses these.Then by the characteristics of vector hydrophone and a improved variable step size LMS,this paper constructs a cascade double input with variable step size based on vector hydrophone line spectrum enhancer . This algorithm restrains the noise of main channel twice ,meanwhile controls the noise in reference channel , so as to improve signal to noise ratio better. At the same time ,because of adopting the improved variable step size LMS, the steady-state error is reduced. From the results of simulation and experiment, the method presented in this paper can have a better effect of line spectrum enhancement.

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2496-2506

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Qihu Li, Min Li, Xiuting Yang: ACTA AUSTICA Vol. 33 No. 3(2008) p: 193-196 (in Chinese).

Google Scholar

[2] Xiaofeng Wang, Binghe Wang , and Jinglin Xiang: Noise Control p: 61-71(2005) (in Chinese).

Google Scholar

[3] Tieshuang Hou, Jinglin Xiang, and Peng Han: ACTA ARMAMENTAR Vol: 30 No. 7(2009) p: 935-939 (in Chinese).

Google Scholar

[4] Yecai Guo: Research on Higher-order statistics Based underwater Moving Target Dynamic spectrum Feature Enhancement, published by Northwestern Polytechnical University(2003) (in Chinese).

Google Scholar

[5] Hosny M. Ibrahim, Reda R. Gharieb, and Mohamed M. Hassan: IEEE TRANSACTIONS ON SIGNAL PROCESSING Vol. 47 No. 2(1999) p: 527-532.

Google Scholar

[6] Xiaobing Zhang, Huayu Dong, Yaolin Xuan: Appliced Acoustics Vol. 27 No. 4(2008) p: 283-287 (in Chinese).

Google Scholar

[7] JAMES R. ZEIDLER, EDGAR H, SATORIUS, OUGLAS M. CHABRIES, and HERBERTT. WEXLERIEEE: TRANSACTION ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING Vol. ASSP-26 No. 3(1978) p: 240-254.

DOI: 10.1109/tassp.1978.1163074

Google Scholar

[8] Xilin Yang, Jing Zhou, Binghe Wang, and Siying Zheng: SHIP SCIENCE AND TECHNOLOGY Vol. 31 No. 3 (2009) p: 93-107 (in Chinese).

Google Scholar

[9] Fengwu Su: The application of adaptive signal processing in acoustic published by Harbin Engineering University (2003) (in Chinese).

Google Scholar

[10] Guozheng Wu, Weiming Yin, Xingguo Hou, and Yanghua Oue: Advanced Digital Signal Processing : edited by China MACHINE PRESS (2009), in Press.

Google Scholar

[11] Shaohua Chen: Research on signal detection and bering Estimation of under water sound source, published by Northwestern Polytechnical University (2003) (in Chinese).

Google Scholar

[12] Wenwen Zhang, Xicai Si, Juanfang Chai, and Li Li: systems Engineering and Electronics Vol. 31 No. 1 (2009) p: 33-35.

Google Scholar

[13] Ning Li: convergence performance analysis and applications of adaptive least mean square(LMS) algorithm published by Harbin Engineering University (2009) (in Chinese).

Google Scholar

[14] Zhonghua Zhang, Duanjin Zhang : systems Engineering and Electronics Vol. 31 N0. 9(2009) p: 2238-2241 (in Chinese).

Google Scholar

[15] Ming Bao, Yunliang Wang: Electeic Power Automation Equipment Vol. 31 No. 1 (2011) p: 71-74 (in Chinese).

Google Scholar

[16] Xiying He: Research on signal Processing and key technologies of vector hydrophone published by university of naval engineering(2010) (in Chinese).

Google Scholar