Adaptive Grid 2-D Direction of Arrival Estimation Method Using an Integrated Dictionary

Abstract

This paper develops an adaptive grid two-dimensional (2-D) direction-of-arrival (DOA) estimation technique employing an integrated dictionary framework. In contrast to using a traditional grid over distinct angles, combined angle information atoms are adopted to construct the dictionary, using a SPICE-based noise power estimate to select the active regions. To compensate for off-grid bias effects, a 2-D dictionary learning procedure is proposed, which is able to yield accurate estimates even in single snapshot scenarios without assuming information about the number of sources. Numerical simulations illustrate the preferable performance of the proposed method as compared to recent 2-D DOA estimation algorithms.