被動(dòng)聲吶盲分離自適應(yīng)-自適應(yīng)波束形成算法研究

錢宇寧; 曹欣榮; 陳亞偉; 孫俊; 張翔宇

doi:10.11999/JEIT170099

被動(dòng)聲吶盲分離自適應(yīng)-自適應(yīng)波束形成算法研究

doi: 10.11999/JEIT170099

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- 文章訪問數(shù): 1656
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出版歷程
- 收稿日期: 2017-01-24
- 修回日期: 2017-05-31
- 刊出日期: 2017-10-19

Research on Adaptive-adaptive Beamforming Algorithm Based on Blind Separation for Passive Sonar

摘要

摘要: 基于自適應(yīng)-自適應(yīng)方法在大規(guī)模被動(dòng)聲吶陣列降維處理上的應(yīng)用需求，該文提出一種基于盲分離的自適應(yīng)-自適應(yīng)波束形成降維算法。該算法將獨(dú)立成分分析方法與自適應(yīng)-自適應(yīng)降維方法有機(jī)結(jié)合，通過獨(dú)立成分分析在不預(yù)知干擾來向的條件下自適應(yīng)地估計(jì)干擾源的導(dǎo)向矢量，并進(jìn)一步采用自適應(yīng)-自適應(yīng)方法對(duì)陣列信號(hào)進(jìn)行波束空間降維，最后采用穩(wěn)健自適應(yīng)方法進(jìn)行波束形成處理。仿真實(shí)驗(yàn)驗(yàn)證了該算法能夠有效降低大規(guī)模陣列自適應(yīng)處理的計(jì)算量，其波束形成效果以及對(duì)誤差的穩(wěn)健性與全陣自適應(yīng)方法相近。
- 大規(guī)模聲吶陣列 /
- 降維 /
- 獨(dú)立成分分析 /
- 自適應(yīng)-自適應(yīng)
Abstract: Due to the application requirement of adaptive-adaptive dimension reduction method in large-scale passive sonar array, a blind separation adaptive-adaptive beamforming algorithm is presented, which combines the Independent Component Analysis (ICA) with the traditional adaptive-adaptive approach. The ICA approach is firstly used to obtain the steering vectors of signal sources without prior information of signal direction. Then, the adaptive-adaptive approach is utilized to reduce signal dimension in beam space and robust adaptive approach is finally used for beamforming. The simulation studies verify the effectiveness of the proposed algorithm for computation burden reduction of large-scale array adaptive processing. Furthermore, the beamforming results and robustness of the proposed algorithm is similar to that of full- array adaptive method.
- Large-scale sonar array /
- Dimension reduction /
- Independent Component Analysis (ICA) /
- Adaptive- adaptive

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