Utilization of Noise-Only Samples in Array Processing With Prior Knowledge

Dave Zachariah, Magnus Jansson, Mats Bengtsson

Abstract: For array processing, we consider the problem of estimating signals of interest, and their directions of arrival (DOA), in unknown colored noise fields. We develop an estimator that efficiently utilizes a set of noise-only samples and, further, can incorporate prior knowledge of the DOAs with varying degrees of certainty. The estimator is compared with state of the art estimators that utilize noise-only samples, and the Cram\'{e}r-Rao bound, exhibiting improved performance for smaller sample sets and in poor signal conditions.