主动声纳混响抑制与目标检测技术

 混响是浅海主动声纳的主要干扰，其抑制问题一直是困扰声纳信号处理的难题，尤其是当声纳载体具有一定的运动速度、导致混响具有空时耦合特性时。空时自适应处理是解决该问题的一个有效途径，它能够实现隐式的平台运动补偿从而允许获得理论最优的混响抑制性能。本文介绍了传统主动声纳的混响抑制与目标检测技术，通过分析声纳与雷达的不同之处，提出了适合于运动声纳的空时自适应处理模型；在此模型下，讨论了提高空时自适应检测稳健性的方法；最后展望了主动声纳混响抑制与目标检测技术的发展趋势。

Reverberation suppression and target detection for active sonar

For an active sonar, the reverberation is the main interference in shallow water, and the reverberation suppression is a complicated problem in the sonar signal processing, especially when the sonar carrier moves with a certain velocity to cause the space-time coupling in the reverberation. The space-time adaptive processing (STAP) is an effective way to solve this problem, with the implicit compensation for the motional platform and it allows to obtain the most optimal performance for the reverberation suppression in the theory. This paper reviews the reverberation suppression and target detection methods for the traditional active sonar. By analyzing the difference between the sonar and the radar, the space-time adaptive processing model suitable for a moving sonar is proposed. Based on this model, the design of the robust space-time adaptive detection method is discussed. At last, the paper summarizes the prospects of the reverberation suppression and target detection methods of the moving sonar.