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Initialization of Cost Function for ML-Based DOA Estimation  

Jo, Sang-Ho (세종대학교 정보통신공학과)
Lee, Joon-Ho (세종대학교 정보통신공학과)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.33, no.1C, 2008 , pp. 110-116 More about this Journal
Abstract
Maximum likelihood(ML) diretion-of-arrival(DOA) estimation is essentially optimization of multivariable nonlinear cost function. Since the final estimate is highly dependent on the initial estimate, an initialization is critical in nonlinear optimization. We propose a multi-dimensional(M-D) search scheme of uniform exhaustive search and improved exhaustive search. Improved exhaustive search is superior to uniform exhaustive search in terms of the computational complexity and the accuracy of the estimates.
Keywords
Initialization; Computational Cost; Maximum likelihood; Exhaustive Search; Direction-of-Arrival(DOA);
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