Title :
The cumulant based MUSIC and its use in frequency estimation
Author :
Fan, X. ; Younan, N.H. ; Taylor, C.D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Mississippi State Univ., Mississippi State, MS, USA
Firstpage :
0.666666666666667
Abstract :
A technique for estimating the frequency components of a signal with additive colored noise is presented. This technique is a cumulant-based MUSIC-type method that effectively operates based on good estimates of the cumulants and the separation of signal and noise subspaces of the fourth-order cumulant matrix. The cumulant-based MUSIC offers the same performance as the noiseless case and provides infinite resolution. Results for simulated colored noisy data with decreasing signal-to-noise ratio values are presented, and a comparison with the correlation-based MUSIC method is made to demonstrate the validity of proposed technique. Due to its insensitivity to Gaussian and non-Gaussian processes, the cumulant-based MUSIC provides better performance and higher frequency resolution than the correlation-based MUSIC
Keywords :
Gaussian noise; correlation methods; frequency estimation; higher order statistics; matrix algebra; signal processing; signal resolution; Gaussian noise; Gaussian process; additive colored noise; correlation-based MUSIC method; cumulant based MUSIC; fourth-order cumulant matrix; frequency components; frequency estimation; frequency resolution; infinite resolution; multiple signal classification; noise subspace; non-Gaussian processes; performance; signal subspace; signal-to-noise ratio; simulated colored noisy data; Additive noise; Colored noise; Frequency estimation; Gaussian distribution; Gaussian noise; Gaussian processes; Matrix decomposition; Multiple signal classification; Signal resolution; Signal to noise ratio;
Conference_Titel :
Southeastcon '93, Proceedings., IEEE
Conference_Location :
Charlotte, NC
Print_ISBN :
0-7803-1257-0
DOI :
10.1109/SECON.1993.465714
