一种基于独立成分分析的水下宽带信号波达方位估计方法

发布时间：2019-02-14 09:22

【摘要】：在水下目标特征信息缺乏、声纳阵列孔径有限的条件下,对水下宽带信号开展高分辨率、高精度的波达方位估计研究,具有明显的研究意义和应用价值。利用水下信源统计独立的特点,采用基于独立成分分析的状态一致性变换算法进行方位估计;考虑到水下加性噪声的高斯分布特性,利用小波降噪的预处理技术,消减混合信号中的高斯噪声成分;针对状态一致性变换在低频段的性能退化,提出一种空间重采样修正方法。使用上述基于空间重采样修正的状态一致性变换算法对仿真及海试数据进行处理,目标方位估计结果表明:该方法具有角度分辨率高、需要阵元数少、对先验知识依赖小、低频段性能稳定的优点,相比常规波束形成、子空间法、传统状态一致性变换3类方法更具性能优越性与实用性。
[Abstract]:Under the condition of the lack of underwater target characteristic information and the limited aperture of sonar array, the research on underwater wideband signal with high resolution and high precision DOA estimation has obvious significance and application value. Taking advantage of the statistical independence of underwater sources, the state consistency transform algorithm based on independent component analysis is used to estimate the azimuth. Considering the Gao Si distribution characteristic of underwater additive noise, the wavelet noise preprocessing technique is used to reduce the Gao Si noise component in the mixed signal. A spatial resampling correction method is proposed for the degradation of state consistency transform in low frequency band. The state consistency transform algorithm based on spatial resampling correction is used to process the simulation and sea trial data. The results of target azimuth estimation show that the method has high angular resolution, requires less matrix elements, and is less dependent on prior knowledge. Compared with conventional beamforming, subspace method and traditional state consistency transformation, three kinds of methods are superior and practical in low frequency band performance stability.
【作者单位】：中国科学院声学研究所;
【基金】：国家“863”计划项目(Y212051211)
【分类号】：TN911.7

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