基于压缩拷贝场向量的空域滤波器设计

苏林; 马力; 孙炳文; 郭圣明

doi:10.7498/aps.63.104302

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基于压缩拷贝场向量的空域滤波器设计

苏林 , 马力 , 孙炳文 , 郭圣明

基于压缩拷贝场向量的空域滤波器设计

苏林, 马力, 孙炳文, 郭圣明

物理学报. 2014, 63(10): 104302.

doi: 10.7498/aps.63.104302.

摘要

近几十年来，匹配场处理技术得到了广泛深入的研究，并针对实际应用提出了一系列的具体处理算法. 当感兴趣的水下目标信号被水面强干扰信号掩蔽时，对水下目标的匹配场处理定位性能显著下降. 现有的广义空域滤波器可以抑制水面强干扰，但计算速度较慢并且内存消耗较大. 提出了一种基于压缩拷贝场算法的空域滤波器设计方案，并通过非相干叠加处理宽带问题. 相对于现有的空域滤波器，当接收阵元数N大于波导中有效简正波号数Q时，该滤波器可以大幅度缩减计算时间、节约运行内存，并且保持了对水面强干扰的抑制性能. 针对近岸浅海环境进行了仿真计算，并给出了一些近岸浅海海域试验数据处理结果，验证了该空域滤波器的性能和对计算速度的提升. 结果表明，应用基于压缩拷贝向量的矩阵滤波器对强干扰下的弱目标进行宽带非相干匹配场定位，可实现水下目标的有效区分.

关键词:

作者及机构信息

1.
中国科学院声学研究所, 北京 100190;

2.
中国科学院水声环境特性重点实验室, 北京 100190;

3.
中国科学院大学, 北京 100049

基金项目: 国家自然科学基金（批准号：11004214，11274338）资助的课题.

参考文献

[1]	Baggeroer A B, Kuperman W A, Mikhalevsky P N 1993 IEEE J. Oceanic Eng. 18 401
[2]	Tolstoy A 1993 Matched Field Processing for Underwater Acoustic (Singapore: World Scientific Publishing Co. Pte. Ltd.) pp11-41
[3]	Ying Y Z, Ma L, Guo S M 2011 Chin. Phys. B 20 054301
[4]	Mirkin A N, Sibul L H 1994 J. Acoust. Soc. Am. 95 877
[5]	Yan S F, Ma Y L 2004 Chin. Sci. Bull. 49 1909 (in Chinese)[鄢社锋, 马远良 2004 科学通报 49 1909]
[6]	Antoniou A, Lu W S 2007 Practical Optimization: Algorithms and Engineering Applications (Berlin: Springer) p408
[7]	Lu W S 2007 Use SeDuMi to Solve LP, SDP, and SCOP Problems: Remarks and Examples (Victoria: University of Victoria) p1
[8]	Zhang S D, Han L, Han D 2011 Underwater Acoust. Eng. 35 67 (in Chinese) [张书第, 韩磊, 韩东 2011 水声工程 35 67]
[9]	Yan S F, Hou C H, Ma X C 2007 Acta Acust. 32 151 (in Chinese) [鄢社锋, 侯朝焕, 马晓川 2007 声学学报 32 151]
[10]	Vaccaro R J, Chhetri A, Brian F 2004 J. Acoust. Soc. Am. 115 3010
[11]	Boyd S P, Vandenberghe L 2004 Convex Optimization (Cambridge: Cambridge University Press) p525
[12]	Bucker H P 1976 J. Acoust. Soc. Am. 59 368
[13]	Soares C, Sergio M J 2003 J. Acoust. Soc. Am. 113 2587
[14]	Jensen F B, Kuperman W A, Porter M B, Schmidt H 2011 Computational Ocean Acoustics (2nd Ed.) (Berlin: Springer) p339
[15]	Guo S M 2000 Ph. D. Dissertation (Beijing: Institute of Acoustics, China Academy of Sciences) (in Chinese) [郭圣明 2000 博士学位论文 (北京: 中国科学院声学研究所)]
[16]	Porter M B 1991 The KRAKEN Normal Mode Program (La Spezia: SACLANT Undersea Research Centre) p1

施引文献

[1]	Baggeroer A B, Kuperman W A, Mikhalevsky P N 1993 IEEE J. Oceanic Eng. 18 401
[2]	Tolstoy A 1993 Matched Field Processing for Underwater Acoustic (Singapore: World Scientific Publishing Co. Pte. Ltd.) pp11-41
[3]	Ying Y Z, Ma L, Guo S M 2011 Chin. Phys. B 20 054301
[4]	Mirkin A N, Sibul L H 1994 J. Acoust. Soc. Am. 95 877
[5]	Yan S F, Ma Y L 2004 Chin. Sci. Bull. 49 1909 (in Chinese)[鄢社锋, 马远良 2004 科学通报 49 1909]
[6]	Antoniou A, Lu W S 2007 Practical Optimization: Algorithms and Engineering Applications (Berlin: Springer) p408
[7]	Lu W S 2007 Use SeDuMi to Solve LP, SDP, and SCOP Problems: Remarks and Examples (Victoria: University of Victoria) p1
[8]	Zhang S D, Han L, Han D 2011 Underwater Acoust. Eng. 35 67 (in Chinese) [张书第, 韩磊, 韩东 2011 水声工程 35 67]
[9]	Yan S F, Hou C H, Ma X C 2007 Acta Acust. 32 151 (in Chinese) [鄢社锋, 侯朝焕, 马晓川 2007 声学学报 32 151]
[10]	Vaccaro R J, Chhetri A, Brian F 2004 J. Acoust. Soc. Am. 115 3010
[11]	Boyd S P, Vandenberghe L 2004 Convex Optimization (Cambridge: Cambridge University Press) p525
[12]	Bucker H P 1976 J. Acoust. Soc. Am. 59 368
[13]	Soares C, Sergio M J 2003 J. Acoust. Soc. Am. 113 2587
[14]	Jensen F B, Kuperman W A, Porter M B, Schmidt H 2011 Computational Ocean Acoustics (2nd Ed.) (Berlin: Springer) p339
[15]	Guo S M 2000 Ph. D. Dissertation (Beijing: Institute of Acoustics, China Academy of Sciences) (in Chinese) [郭圣明 2000 博士学位论文 (北京: 中国科学院声学研究所)]
[16]	Porter M B 1991 The KRAKEN Normal Mode Program (La Spezia: SACLANT Undersea Research Centre) p1

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物理学报. 2014, 63(10): 104302.

doi: 10.7498/aps.63.104302.

基于压缩拷贝场向量的空域滤波器设计

苏林^{1 2 3}
马力^{1 2}
孙炳文^{1 2}
郭圣明^{1 2}

1. 中国科学院声学研究所, 北京 100190;
2. 中国科学院水声环境特性重点实验室, 北京 100190;
3. 中国科学院大学, 北京 100049

基金项目:

国家自然科学基金（批准号：11004214，11274338）资助的课题.

收稿日期: 2013-09-24
修回日期: 2014-02-21
刊出日期: 2014-05-05

摘要: 近几十年来，匹配场处理技术得到了广泛深入的研究，并针对实际应用提出了一系列的具体处理算法. 当感兴趣的水下目标信号被水面强干扰信号掩蔽时，对水下目标的匹配场处理定位性能显著下降. 现有的广义空域滤波器可以抑制水面强干扰，但计算速度较慢并且内存消耗较大. 提出了一种基于压缩拷贝场算法的空域滤波器设计方案，并通过非相干叠加处理宽带问题. 相对于现有的空域滤波器，当接收阵元数N大于波导中有效简正波号数Q时，该滤波器可以大幅度缩减计算时间、节约运行内存，并且保持了对水面强干扰的抑制性能. 针对近岸浅海环境进行了仿真计算，并给出了一些近岸浅海海域试验数据处理结果，验证了该空域滤波器的性能和对计算速度的提升. 结果表明，应用基于压缩拷贝向量的矩阵滤波器对强干扰下的弱目标进行宽带非相干匹配场定位，可实现水下目标的有效区分.

关键词:

English Abstract

Spatial filter design based on compressed replica vectors

Su Lin^{1 2 3},
Ma Li^{1 2},
Sun Bing-Wen^{1 2},
Guo Sheng-Ming^{1 2}

1.
Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China;

2.
Key Laboratory of Underwater Acoustics Environment, Chinese Academy of Sciences, Beijing 100190, China;

3.
University of Chinese Academy of Sciences, Beijing 100049, China

Fund Project:
Projected supported by the National Natural Science Foundation of China (Grant Nos. 11004214, 11274338).

Received Date: 24 September 2013
Accepted Date: 21 February 2014
Published Online: 05 May 2014

Abstract: Matched field processing techniques have been studied extensively in recent decades, and a lot of detail algorithms have been put forward for practical use. When the underwater target is obscured by the strong surface interferences, the performance of matched field processing localization will degrade severely. The now existing spatial filter technique can be used to suppress the surface interferences, but the burden of calculation is heavy and the memory usage is large. In this paper, a scheme of optimizing spatial filter design based on the compressed replica vectors is presented, and the broadband data are processed incoherently. In contrary to the existing spatial filter, the optimized spatial filter can effectively reduce the computational complexity and memory usage when the number of array elements N is greater than the number of the effective modes Q, meanwhile, it also retains the original performance of interference suppression. Numerical simulations in a littoral shallow water environment are performed to validate the performance of the spatial filter and the promotion of computation speed. Then, data processing results obtained from an experiment conducted in the littoral shallow water environment are presented. It follows from the results that the weak underwater target can be distinguished from the strong surface interference clearly by use of the incoherent matched field processing with the application of the spatial filter based on compressed replica vectors.

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