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针对无源声呐中宽带相干处理对邻近弱目标分辨能力仍不足的问题,提出一种相干聚焦后稀疏空间谱求解的宽带超分辨方位估计方法。首先将不同频点数据相干聚焦到参考频点,构成多测量矢量稀疏求解问题,然后采用二阶锥规划内点算法进行稀疏空间谱拟合,实现了宽带弱目标超分辨方位估计。仿真试验结果表明,该方法在弱目标分辨和方位估计精度方面优于宽带非相干和相干信号子空间高分辨处理方法。32元拖曳阵海试数据的处理结果验证了该方法的优越性能,同时说明了该方法在无源声呐探测中应用的可行性。
In order to solve the problem that the resolution of near-weak target in wideband coherent processing of passive sonar is still insufficient, a novel method of wideband super-resolved DOA estimation using sparse spatial spectrum after coherently focusing is proposed. Firstly, the data of different frequency points are coherently focused on the reference frequency to form the sparsity solution of multi-measurement vector. Then, the sparse spatial spectrum fitting is performed by the second-order cone algorithm. The simulation results show that the proposed method is superior to the high resolution processing of wideband incoherent and coherent signal subspaces in the aspect of weak target resolution and azimuth estimation accuracy. The processing results of the 32-element drag array sea trial data verify the superior performance of the method and the feasibility of the method in the passive sonar detection.