Title :
Spectrum estimation of harmonics based on the ESPRIT method under alpha-stable noise
Author :
Wu Liang-dan ; Luo Jing ; Zha Dai-feng
Author_Institution :
Coll. of Electron. Eng., Jiujiang Univ., Jiujiang, China
Abstract :
Traditional spectrum estimation of harmonics has been developed under the condition that the sub-space vectors of noises are Gaussian distributed, but the variance which is the second order statistics of fractional lower order stable distribution is infinite value. This paper briefly introduce the statistical characteristics of alpha stable distribution, analyses the fractional order correlation matrix structure through the definition of the fractional p-order correlation, proposes a new method of frequency estimation under alpha-stable noise conditions based on the traditional ESPRIT method. The simulation results show that the proposed method is more robust than the traditional ESPRIT.
Keywords :
Gaussian distribution; frequency estimation; signal processing; ESPRIT method; Gaussian distribution; alpha stable distribution; alpha-stable noise; alpha-stable noise conditions; fractional lower order stable distribution; fractional order correlation matrix structure; fractional p-order correlation; frequency estimation method; harmonics spectrum estimation; second order statistics; statistical characteristics; subspace noise vectors; Correlation; Frequency estimation; Harmonic analysis; Noise; Signal processing algorithms; Spectral analysis; Alpha stable distribution; ESPRIT; Spectrum Estimation of Harmonics;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2013 3rd International Conference on
Conference_Location :
Xianning
Print_ISBN :
978-1-4799-2859-0
DOI :
10.1109/CECNet.2013.6703402