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为提高脉冲噪声环境中基于子空间的正弦信号频率估计算法的性能,以α稳定分布过程为脉冲噪声模型,利用m-估计方法得到接收信号尺度的鲁棒估计.构建鲁棒的接收信号协方差矩阵,并利用子空间方法得到正弦信号频率的估计.计算机仿真结果表明:该方法在强脉冲和低信噪比环境中的性能显著优于基于分数低阶统计量的子空间频率估计方法.
In order to improve the performance of subspace-based sinusoidal signal frequency estimation algorithm in impulsive noise environment, the α-stable distribution process is impulse noise model and the robust estimation of received signal scale is obtained by using m-estimation method. Robust received signal covariance Matrix, and the subspace method is used to get the estimate of the frequency of the sinusoidal signal.Computer simulation results show that the performance of this method is better than that based on fractional lower-order statistics in strong impulse and low signal-to-noise ratio.