Numerical implemention of the AML algorithm for wideband DOA estimation
Len Yip, Joe C. Chen, Ralph E. Hudson, Kung Yao · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2003
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.