论文:2012,Vol:30,Issue(1):112-116
引用本文:
易锋, 孙超, 向龙凤, 刘宗伟. 基于模态分解的最小方差模态滤波器[J]. 西北工业大学
Yi Feng, Sun Chao, Xiang Longfeng, Liu Zongwei. A New and Better Method of MVDR (Minimum Variance Distortionless Response) Mode Filtering Based on Mode Decomposition[J]. Northwestern polytechnical university

基于模态分解的最小方差模态滤波器
易锋, 孙超, 向龙凤, 刘宗伟
西北工业大学 航海学院,陕西 西安 710072
摘要:
针对浅海的复杂水声环境,提出了一种基于模态分解的最小方差无失真响应(MVDR)的自适应模态滤波器,利用接收阵列的声场数据和声速梯度数据,估计了各阶简正波复幅度系数。最小方差模态滤波器提取声场某阶模态时,可以抑制其它模态和噪声的影响,减弱模态滤波器对阵列长度的依赖性及对噪声的灵敏度。通过计算机仿真研究了最小方差模态滤波器的性能,并与其它线性模态滤波器进行了对比,结果表明:该自适应模态滤波器比其它线性模态滤波器能更精确地估计各阶简正波复幅度系数,并且具有良好的环境适用性特点。
关键词:    自适应滤波器    模态滤波器    模态分离    浅海   
A New and Better Method of MVDR (Minimum Variance Distortionless Response) Mode Filtering Based on Mode Decomposition
Yi Feng, Sun Chao, Xiang Longfeng, Liu Zongwei
College of Marine Engineering,Northwestern Polytechnical University,Xi'an 710072,China
Abstract:
Mode filters are commonly implemented using the sampled mode shape or pseudoinverse filters,but theydepend on the received array length and have sensitivity to white noise.We propose what we believe to be a new andbetter adaptive mode filter based on the MVDR filtering.We explain it in sections 1,2 and 3 of the full paper.Their core consists of: (1) the MVDR mode filter can estimate the complex mode coefficients by suppressing othermodes and noise; (2) the performance of the MVDR mode filter is analyzed by computer simulation based on thereceived data and the sound velocity profile in shallow water.The simulation results, presented in Figs.2, 3 and 4,and their analysis show preliminarily that: (1) the MVDR mode filter achieves the same performance as the reducedrank pseudo-inverse mode filter and offers greater performance than other linear mode filters; (2) the MVDR modefilter can estimate complex mode coefficients more accurately than other linear filters and adapt the filter coefficientsto the changing environments using the received data.
Key words:    adaptive filtering    algorithms    analysis    arrays    beamforming    decomposition    estimation    frequen-cies    inverse problems    measurement errors    Monte Carlo methods    multipath propagation    sampling    sensitivity analysis    signal processing    signal to noise ratio    simulation    underwater acoustics    veloci-ty    white noise    mode filter    mode decomposition   
收稿日期: 2011-04-06     修回日期:
DOI:
基金项目: 国家安全重大基础研究(613110020101);国家自然科学基金(60872146)资助
通讯作者:     Email:
作者简介: 易锋(1984-),西北工业大学博士研究生,主要从事水声信号处理的研究。
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