脉冲噪声环境下改进的顽健循环时延估计算法

摘要

The problem of time delay estimation (TDE) for cyclostationary signals in the presence ofα-stable distribution impulsive noise and interfering signals was addressed. Since the conventional algorithms based on the second-order cyc-lic spectral correlation function degenerated severely in impulsive noise environment, a novel robust algorithm based on the fractional lower-order spectrum was proposed. Compared with conventional spectra analysis methods, this novel me-thod could suppress Gaussian noise, non-Gaussian impulsive noise and interfering signals more effectively. Simulation results demonstrate the effectiveness and robustness of the novel algorithm.%　　研究了脉冲噪声环境下循环平稳信号的时延估计问题，针对脉冲噪声环境中基于传统二阶谱相关函数的时延估计方法性能退化问题，提出了基于分数低阶循环谱的改进顽健算法。相对于传统算法，新算法对脉冲噪声、高斯噪声、干扰信号都具有较好的抑制作用。仿真结果证明了算法的有效性和顽健性。