一种基于变步长盲源分离的混响消除方法

王威龙; 杨云川; 王明洲; 李金明; 赵 伟; 石 磊

doi:10.11993/j.issn.1673-1948.2015.01.006

一种基于变步长盲源分离的混响消除方法

doi: 10.11993/j.issn.1673-1948.2015.01.006

王威龙^1,2,
杨云川^1,2,
王明洲^1,2,
李金明¹,
赵伟¹,
石磊¹

1.
中国船舶重工集团公司第705研究所, 陕西西安, 710075
2.
水下信息与控制重点实验室, 陕西西安, 710075

详细信息

作者简介:
王威龙(1989-), 男, 在读硕士, 主要研究方向为声自导信号处理.

中图分类号: TJ630.34; TM46
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- 文章访问数: 1012
- HTML全文浏览量: 1
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- 被引次数: 0
出版历程
- 收稿日期: 2014-08-21
- 修回日期: 2014-09-26
- 刊出日期: 2015-02-20

A Reverberation Elimination Method Based on Adaptive Step Size Blind Source Separation

1.
The 705 Research Institute, China Shipbuilding Industry Corporation, Xi′an 710075, China
2.
Science and Technol-ogy on Underwater Information and Control Laboratory, Xi′an 710075, China

摘要

摘要: 针对现有抑制主动声呐混响方法计算量大, 收敛速度慢的缺点, 提出了一种使用瞬时误差来控制和修正盲源分离算法中的步长和权值迭代更新的变步长盲源分离新算法, 并采用主动声呐信号对该算法进行了仿真试验。结果表明, 该算法能够将混响和目标回波作为不同的源信号成功分离, 从而提高了回波信号的信混比与后置算法的检测性能。和传统算法相比, 变步长盲源分离算法收敛速度快、计算复杂度低, 和固定步长算法稳态误差相当, 有利于混响消除算法的工程实现。
- 混响消除 /
- 变步长算法 /
- 盲源分离
Abstract: To suppress active sonar reverberation, overcome the shortcomings of huge computing consumption and slow convergence in existing algorithms, we propose an adaptive step size blind source separation algorithm, and perform simulation test to verify the algorithm with active sonar echo reverberation. The result shows that the proposed algorithm can separate the echo and reverberation effectively, and improve the signal to reverberation ratio(SRR) and the detection performance of the rear algorithm. The proposed algorithm has a faster convergence and lower computing complexity than conventional algorithms. Compared with the fix step size blind source separation algorithm, it has equivalent steady-state error. The proposed algorithm may facilitate engineering implementation of reverberation elimination.
- reverberation elimination /
- variable step size algorithm /
- blind source separation

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参考文献(6)

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