声纳强脉冲干扰的自适应抵消方法

为了解决声纳实际使用中强脉冲干扰影响目标检测和跟踪的问题,提出一种在阵元域内实现的自适应干扰抵消方法.该方法基于最小均方（LMS）误差准则的自适应滤波来实现,引入频域批处理方法大大降低了运算量,采用可变步长的自适应叠代方法实现了对强脉冲的快速抑制.提出一种自适应干扰抵消参考信号的提取方法,同时在自适应算法中施加梯度约束计算,从而实现强干扰背景下的目标稳定跟踪.经多次水上试验表明：该方法能够不损失目标信息对强脉冲干扰进行有效抑制,达到检测被强干扰掩盖的目标信号的目的,同时也能实现强干扰背景下的目标稳定跟踪．

Approach to adaptive cancellation of strong interference pulse in sonar

For sonar detection and tracking in the presence of strong interference pulses, an adaptive interference cancellation method in the element domain was proposed, which is based on least mean square (LMS) adaptive filtering. The work reduces the computation burden by frequency domain batch processing, and achieves fast suppression of strong pulse via varied step adaptive iteration. An adaptive interference cancellation method for reference signal extraction was presented, and constrained gradient computation in the adaptive algorithm was implemented. Therefore, stable target tracking in strong interference environments can be accomplished. Experiments during sea trial indicated that strong interference pulses can be suppressed effectively using this method without any loss of target information. Stable target tracking in such environments are accomplished while the signal corrupted by strong interference pulses is detected.