  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.
