Comparative study between several direction of arrival estimation methods
In this paper a comparative study, restricted to one-dimensional stationary case, between
several Direction of Arrival (DOA) estimation algorithms of narrowband signals is presented.
The informative signals are corrupted by an Additive White Gaussian Noise (AWGN), to
show the performance of each method by applying directly the algorithms without pre-
processing techniques such as forward-backward averaging or spatial smoothing.
several Direction of Arrival (DOA) estimation algorithms of narrowband signals is presented.
The informative signals are corrupted by an Additive White Gaussian Noise (AWGN), to
show the performance of each method by applying directly the algorithms without pre-
processing techniques such as forward-backward averaging or spatial smoothing.
Abstract
In this paper a comparative study, restricted to one-dimensional stationary case, between several Direction of Arrival (DOA) estimation algorithms of narrowband signals is presented. The informative signals are corrupted by an Additive White Gaussian Noise (AWGN), to show the performance of each method by applying directly the algorithms without pre-processing techniques such as forward-backward averaging or spatial smoothing.
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