Iterative music: Coherent signal estimation, performance analysis
Document Type
Conference Proceeding
Publication Date
1-1-2002
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.
Publication Title
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Recommended Citation
Tian, Z.
(2002).
Iterative music: Coherent signal estimation, performance analysis.
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
3.
http://doi.org/10.1109/icassp.2002.5745290
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/10534