A Robust Broadband Interference Suppression Algorithm Based on Few Snapshots
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摘要:
针对被动声呐对宽带干扰抑制的应用需求，该文提出一种利用少快拍数据的宽带干扰鲁棒性抑制算法。算法基于宽带干扰的预估方位，得到带宽内多频点叠加的导向互谱密度矩阵，以此估计出信号子空间，并采用投影法对单位向量修正，再逆转换得到干扰导引向量估计。对所有待抑制的干扰重复上述步骤，得到干扰导引向量集，进而构造抑制矩阵。对阵元域数据处理得到剔除掉干扰成分的阵元数据，再进行空间处理即可得到最终的空间谱。理论分析及仿真、海试数据处理表明，算法可采用少快拍，甚至单快拍的频域数据进行处理。在目标运动、环境状态快速变化等不适宜时间积分的环境下依然具有良好性能，同时对空间处理面临的各类失配具有鲁棒性。
Abstract:For the requirement of broadband interference suppression for passive sonar, a robust broadband interference suppression algorithm using few snapshots is proposed. Based on the estimated bearing of the broadband interference, the algorithm obtains the steered cross-spectral density matrix through multi-frequency data in the bandwidth and estimates the signal subspace, then uses the projection approach to correct the unit vector, and estimates the steering vector of interference through inversely transforming. Repeating above steps can obtain the interference steering vector set, thereby constructing the suppression matrix. The interference component of array data is eliminated by suppression matrix processing, and the final spatial spectrum can be obtained after spatial processing. The theoretical analysis, simulation and processing of sea trial data show that the proposed algorithm uses few, even single frequency domain snapshots processing, and still has good performance in environments where target motion, conditions rapid change and other conditions that time integration is unsuitable, at the same time, algorithm is robust for mismatches faced by space processing.
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