一种基于高阶累积量变步长迭代的自适应谱线增强新方法

依据变步长LMS（Leaset Mean Square)算法能改善自适应谱线增强器（ALE）跟踪性能的特点，提出了基于高阶累积量变步长迭代的自适应谱线增强新方法。用实测水下运动目标辐射噪声数据，对该方法的性能进行了动态仿真研究。仿真表明，该方法具有很好的抑制高斯有色噪声能力的跟踪能力；能有效地增强性调频、对数（或指数）频调信号谱线。因此，在提高水下探测系统功效，识别与检测水下运动目标方面具有一定的指导意义和应用价值。

A Novel Method for Higher Order Cumulate Variable Step Size Iteratio Adaptive Line Enhancement

Based on the advantage of variable step size least mean square adaptive line enhancer(ALE),a novel method for higher order cumulate variable step size iteration adaptive line enhancement is proposed.The performance of the proposed method is simulated using the data of moving target-radiated noise.The results show that the proposed method can suppress commend-ably gaussian colored noise and trace rapidly time-varying signal,and it can enhance effectively frequency linear modulation signal or frequency exponential or logarithmic modulation signal and so on.Accordingly,the research,in the paper,is propitious to improving the ability of the un-derwater detection system to detect and recognize the underwater moving-target,and it has impor-tant significance and applied value in the engineering.