Title :
Maximum likelihood estimation of direction-of-arrival for broad-band sources via dynamic programming
Author :
Lin, S.-D. ; Barkat, Mourad
Author_Institution :
Dept. of Electr. Eng., State Univ. of New York, Stony Brook, NY, USA
Abstract :
An analysis is presented to estimate the number of broadband sources by sensor arrays and to compute the maximum likelihood estimator (MLE) of their direction-of-arrival (DOA) based on the dynamic programming algorithm. The approach is devised in the frequency domain. With proper selection of the number of elements, the distance between elements, and the step size, the global maximum for the log-likelihood function (LLF) can be obtained. Otherwise, the global maximum is not guaranteed. Simulation results are presented and studied to demonstrate the performance of the proposed method
Keywords :
dynamic programming; parameter estimation; signal detection; MLE; broad-band sources; broadband sources; direction-of-arrival; dynamic programming; global maximum; log-likelihood function; maximum likelihood estimator; sensor arrays; Algorithm design and analysis; Cascading style sheets; Direction of arrival estimation; Dynamic programming; Frequency domain analysis; Maximum likelihood estimation; Multiple signal classification; Sensor arrays; Signal processing; Signal to noise ratio;
Conference_Titel :
Circuits and Systems, 1990., Proceedings of the 33rd Midwest Symposium on
Conference_Location :
Calgary, Alta.
Print_ISBN :
0-7803-0081-5
DOI :
10.1109/MWSCAS.1990.140715
