Sparsity-based direction of arrival estimation in the presence of gain/phase uncertainty

Estimating the direction of arrival (DOA) in sensor arrays is a crucial task in array signal processing systems. This task becomes more difficult when the sensors have gain/phase uncertainty. We have addressed this issue by modeling the problem as a combination of two sparse components, the DOA vector and the gain/phase uncertainty vector. Therefore, a sparse decomposition technique is suggested to jointly recover the DOAs and the sensors with gain/phase uncertainty. The simulation results confirm that the suggested method offers very good performance in different scenarios and is superior to its counterparts.