均匀分布噪声环境中谐波恢复新方法研究

Study on a New Method for Harmonic Retrieval in the Environment of Uni formly Dis tributed Noise

借助误差信号的最小偶次均方(LeastMeanEven,LME)的思想,提出了用非输入信号(输入信号的函数)的最小偶次均方对高阶累积量进行迭代,从而构造出基于高阶累积量类LME迭代的自适应谐波恢复新方法。仿真表明:该方法能较好地抑制均匀分布噪声。

To improve the ability of detecting underwater moving target in non-Gaussian noise,we developed CBQLMEAHR(cumulant-based quasi-least mean even adaptive harmonic re-trieval)method.CBQLMEAHR method is described in Sectoin2in detail,and Figs.2and3are used to show its priciple and to derives eqs.(3)through(6).Section3gives signal model and conducts simulation tests.Figs.4,5,and6as well as Table2give simulation results.Fig.5shows the enhanced signal in Gaussian noise and Fig.6shows the enhanced signal in uniformly distributed noise.From these figures and Table2we can see that the ability of CBQLMSAHR(cumulant-based quasi-least mean square adaptive harmonic retrieval)method to suppress Gaus-sian noise is higher than that of CBQLMEAHR method and that the ability of CBQLMEAHR method to suppress uniformly distributed noise is stronger than that of CBQLMSAHR method.[