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基于自适应-自适应方法在大规模被动声呐阵列降维处理上的应用需求,该文提出一种基于盲分离的自适应-自适应波束形成降维算法。该算法将独立成分分析方法与自适应-自适应降维方法有机结合,通过独立成分分析在不预知干扰来向的条件下自适应地估计干扰源的导向矢量,并进一步采用自适应-自适应方法对阵列信号进行波束空间降维,最后采用稳健自适应方法进行波束形成处理。仿真实验验证了该算法能够有效降低大规模阵列自适应处理的计算量,其波束形成效果以及对误差的稳健性与全阵自适应方法相近。
Based on the application of adaptive-adaptive method in dimension reduction of large-scale passive sonar array, an adaptive-adaptive beamforming reduction algorithm based on blind separation is proposed. This algorithm combines the independent component analysis method with the adaptive-adaptive dimensionality reduction method. By using independent component analysis, the steering vector of the interference source can be adaptively estimated under the condition of not predicting the direction of interference, and the adaptive-adaptive The method reduces the dimension of the array signal by beam space, and finally uses the robust adaptive method to do the beamforming. Simulation results show that this algorithm can effectively reduce the computational complexity of large-scale array adaptive processing, and the beamforming effect and the robustness of the error are similar to that of the whole array adaptive method.