摘要
依据变步长LMS(LeastMeanSquare)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和跟踪能力;能有效地增强线性调频、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。
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.[
出处
《电声技术》
北大核心
2002年第6期4-7,共4页
Audio Engineering
基金
船舶工业科技基金资助项目
项目编号2000J42.2.8
关键词
高阶累积量变步长迭代
自适应谱线增强
水声信号处理
Higher order cumulate variable step size iteration
Frequency logarithmic mod-ulation signal
Gaussian colored noise
Adaptive line enhancr
