Title :
Pseudo-Power Spectrum Estimation Method Based on Fractional Low-Order Covariance Matrix
Author :
Jiang Jinlong ; Huang Tiancheng ; Zha Daifeng ; Mei Longbao
Author_Institution :
Coll. of Electron. Eng., Jiujiang Univ., Jiujiang, China
Abstract :
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.
Keywords :
channel bank filters; covariance matrices; estimation theory; spectral analysis; FLOC matrix; MCS estimation method; PPS; alpha stable distribution signal; distribution noise; filter banks; finite covariance; fractional low-order covariance matrix; frequency point; minimum covariance spectrum estimation method; pseudo-power spectrum estimation method; Covariance matrix; Estimation; Filter bank; Noise; Signal resolution; Spectral analysis;
Conference_Titel :
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location :
Henan
Print_ISBN :
978-1-4244-7159-1
DOI :
10.1109/ICEEE.2010.5660826