A computationally efficient self-calibrating direction-of-arrival estimator

In this paper, we discuss new self-calibrating techniques for direction-of-arrival (DOA) estimation using an array of sensors, based on estimation-theoretic methods. We consider two cases; one where the background noise is known to be white; the other where the background noise is coloured with unknown covariance. Modern high-resolution array processing algorithms have long suffered from the sensitivity of the bearing estimates to sensor gain …