浅海混响扩展的空时2D分布与混响抑制

詹昊可; 蔡志明; 苑秉成

doi:10.11993/j.issn.1673-1948.2009.02.007

浅海混响扩展的空时2D分布与混响抑制

doi: 10.11993/j.issn.1673-1948.2009.02.007

1.
海军工程大学兵器工程系,湖北武汉 430033
2.
海军工程大学电子工程学院,湖北武汉 430033

基金项目: 国家重大基础研究课题资助

详细信息

作者简介:
詹昊可(1977-)，男，在读博士，主要研究方向为武器系统与运用工程及其水声信号处理等.

中图分类号: TN911
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- 被引次数: 0
出版历程
- 收稿日期: 2008-07-28
- 刊出日期: 2009-04-30

Space-Time Two-Dimensional Distribution of Reverberation in Shallow Water and Anti-Reverberation

1.
Department of weaponry Engineering, Naval University of Engineering, Wuhan 430033, China
2.
Electronics Engineering College, Naval University of Engineering, Wuhan 430033, China

摘要

摘要: 从不同锥角入射的浅海混响，造成具有空时耦合特性的多普勒的扩展，在频域形成一定带宽的干扰，对鱼雷目标检测性能有极大的影响。研究了混响在频域上的扩展程度，得出了这种扩展在空时2D平面具有特定形式的结论，因此单纯从频域处理出发，利用多普勒进行混响抑制效果不是很理想，需联合考虑空域与频域上的混响抑制方法。在此基础上研究了空时最优处理方法在主动声自导鱼雷中的应用，通过压低旁瓣减少旁瓣区混响和自身多普勒零陷抑制主瓣混响等措施对传统方法进行了改进。仿真数据处理表明，2种方法均能较好的抑制混响，其中改进方法因计算量较低易于实时实现。
- 鱼雷 /
- 浅海混响 /
- 空时2D分布 /
- 空时自适应
Abstract: Reverberation with different incident cone-angles, in shallow water spreads space-time coupling Doppler,and produces a certain bandwidth interference in frequency spectrum,which gives rise to great difficulty in detection of target. The Doppler bandwidth interference is found to have special two-dimensional space-time form in this paper. Consequently, the conventional method, which restrains reverberation using Doppler difference only in frequency spectrum,is not as satisfactory as the space-time method.Therefore,the application of space-time adaptive optimization method to active acoustic homing torpedo is studied, and the conventional method is improved by restraining the side lobe reverbereration and main lobe reverberation with self Doppler null method. Simulation results show that the two methods can both suppress the reverberation effectively, and the improved method can be implemented more easily in real-time process because of its less computation.
- torpedo /
- shallow water reverberation /
- space-time two-dimensional distribution /
- space-time adaptive

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参考文献(5)

[1]	Kremm R. Principles of Space-time Adaptive Processing.London:The Institution of Electrical Engineers,2002:15-30.
[2]	王永良, 彭应宁.空时自适应信号处理.北京:清华大学出版社,2000.
[3]	Parker P, Swindlehurst A. Space-time Autoregressive Filtering for Matched Subspace STAP. IEEE Trans AES, 2003, 39(2):510-520.
[4]	陈建文, 王永良. 空时自适应处理典型方法综合性能评估. 系统工程与电子技术,2000,22(1):42-46.
[5]	詹昊可,蔡志明, 苑秉成. 一种共形阵主动声纳空时自适应混响抑制方法.声学技术,2007,26(3): 488-492.