We present a Bayesian solution to the problem of multiple direction of arrival (DOA) detection/estimation from a single temporal observation of array data, where the array can be of general configuration. The proposed method consists of multiple-step likelihood marginalizations using noninformative priors selected specifically to allow valid comparison of alternative model orders. This yields a novel DOA estimation cost function and a new detection algorithm useful for the single-snapshot case.
No takes yet. Share an insight, caveat, or question.
Radich et al. (1997) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: