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Pseudo-Power Spectrum Estimation Method Based on Fractional Low-Order Covariance Matrix

机译:基于分数低阶协方差矩阵的伪功率谱估计方法

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Minimum covariance spectrum (MCS) estimation method is not robust in alpha stable distribution because of no finite covariance. A pseudo-power spectrum estimation method based on fractional low-order covariance (FLOC) matrix is proposed in this paper to improve MCS estimation method. The pseudo-power of a frequency point can be obtained by using FLOC matrix, and its pseudo-power spectrum (PPS) can be calculated by filter banks. Simulation shows that the proposed method is robust and has the capability of resolution better than MCS estimation in alpha stable distribution signal or noise.
机译:最小协方差谱(MCS)估计方法由于没有有限的协方差,因此在alpha稳定分布中不可靠。提出了一种基于分数低阶协方差(FLOC)矩阵的伪功率谱估计方法,以改进MCS估计方法。频率点的伪功率可以通过使用FLOC矩阵获得,其伪功率谱(PPS)可以通过滤波器组来计算。仿真表明,该方法具有鲁棒性,在α稳定分布信号或噪声中具有比MCS估计更好的分辨率。

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