一种基于高阶累积量的新变步长的自适应谱线增强方法

A new method of higher order cumulant based adaptive spectral line enhancement with variable step size

从减小高阶累积量计算量出发,综合变步长算法和极性算法的优点,提出了基于高阶累积量的能量幂函数型变步长极性迭代自适应动态谱线增强新方法,该方法用输入信号的能量幂函数作变步长来改善跟踪性能,用非输入信号(由输入信号构成的函数)的符号或极性来减小高阶累积量的计算量。仿真表明,该方法具有良好的抑制高斯噪声、增强谱线和跟踪时变信号的性能。

Based on the aim of reducing the computational complexity of cumulant estimate a newmethod of higher-order cumulant-based energy power function type variable step size sign iteration adaptive dynamic spectrum enhancement was proposed taking the advantages of the variable step size algorithm and sign algorithm. The proposed method utilizes the energy power function as variable step size to amend the tracing performance and it uses the sign of function of the input signal to reduce the computational complexity of higher-order cumulant estimate. The simulation tests were carried out by the proposed method for the polynomial phase signal spectrum enhancement. The simulation shows that the proposed method has outstanding performance in suppressing Gaussian noise enhancing signal spectrum and tracing time-varying signal.