Numerical implemention of the AML algorithm for wideband DOA estimation

Len Yip; Joe C Chen; Ralph E. Hudson; Kung Yao

doi:10.1117/12.507831

24 December 2003 Numerical implemention of the AML algorithm for wideband DOA estimation

Len Yip, Joe C Chen, Ralph E. Hudson, Kung Yao

Proceedings Volume 5205, Advanced Signal Processing Algorithms, Architectures, and Implementations XIII; (2003) https://doi.org/10.1117/12.507831
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States

Abstract

In this work, three algorithms are proposed to reduce the computational complexity of the Approximated Maximum Likelihood (AML) for wideband Direction of Arrival (DOA) estimation. The first two methods, conjugate gradient and Gauss-Newton, are iterative methods that are based on gradient information of the log-likelihood function. The third method, Alienor method, is based on function approximation theory which transform a multi-variable function into a one-variable function. Therefore, a multi-dimension search is reduced to a one-dimension search. Complexity as well as computational time of these methods are compared by simulations. Effectiveness of the AML algorithm is also demonstrated by experimental data.

Citation Download Citation

Len Yip, Joe C Chen, Ralph E. Hudson, and Kung Yao "Numerical implemention of the AML algorithm for wideband DOA estimation", Proc. SPIE 5205, Advanced Signal Processing Algorithms, Architectures, and Implementations XIII, (24 December 2003); https://doi.org/10.1117/12.507831

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