Title :
A dynamic programming algorithm for the maximum likelihood localization of multiple sources
Author :
Huang, Yung-Dar ; Barkat, Mourad
Author_Institution :
Dept. of Electron. Eng., Nat. Taiwan Inst. of Technol., Taipei, Taiwan
fDate :
9/1/1992 12:00:00 AM
Abstract :
A dynamic programming algorithm is presented for simultaneously computing the maximum-likelihood (ML) estimator of the number of multiple sources and their directions of arrival (DOA) in sensor array processing. Based on the projection-matrix decomposition technique, the multivariate log-likelihood maximization problem is transformed into a multistage one-dimensional maximization problem. The estimation procedure is obtained with relatively light computational load. In addition, the estimator gives satisfactory performance in the case of both coherent and incoherent sources. The simulation results also show that, when the element SNR is low and/or the number of snapshots is small, the DP-ML algorithm is much superior to MUSIC
Keywords :
array signal processing; dynamic programming; maximum likelihood estimation; DOA; MLE; SNR; coherent sources; directions of arrival; dynamic programming algorithm; estimation procedure; incoherent sources; maximum likelihood localization; multiple sources; multistage one-dimensional maximization problem; multivariate log-likelihood maximization problem; projection-matrix decomposition technique; sensor array processing; Antenna arrays; Direction of arrival estimation; Dynamic programming; Heuristic algorithms; Image sensors; Maximum likelihood estimation; Multiple signal classification; Recursive estimation; Sensor arrays; Sensor phenomena and characterization;
Journal_Title :
Antennas and Propagation, IEEE Transactions on