Continuous sparse recovery for direction of arrival estimation with co-prime arrays (original) (raw)

We consider the problem of direction of arrival (DOA) estimation using a newly proposed structure of co-prime arrays in this paper. A continuous sparse recovery method is implemented in this work. We show that in the noiseless case one can theoretically detect up to M N 2 sources with only 2M + N sensors via continuous sparse recovery. The noise statistics of coprime arrays are also analyzed to demonstrate the robustness of the proposed optimization scheme. By numerical examples, we show the superiority of the proposed method.