Title :
Iterative music: Coherent signal estimation, performance analysis
Author_Institution :
Department of Electrical and Computer Engineering, Michigan Technological University, Houghton, 49931, USA
Abstract :
A new iterative MUSIC algorithm is proposed based on the successive cancellation idea. It can be cast as an alternative of the expectation maximization (EM) algorithm, in which the maximization step is carried out by one-dimensional MUSIC estimation. This algorithm is computationally attractive because of the use of high-efficiency MUSIC at each iteration. Moreover, it is able to resolve coherent signals through the signal decomposition. A theoretical performance evaluation procedure is described to analyze the estimation variance of the iterative MUSIC algorithm. Both analytic and experimental results indicate that the iterative MUSIC method is effective for coherent signals.
Keywords :
Algorithm design and analysis; Matrix decomposition; Multiple signal classification; Silicon carbide;
Conference_Titel :
Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
Conference_Location :
Orlando, FL, USA
Print_ISBN :
0-7803-7402-9
DOI :
10.1109/ICASSP.2002.5745290
