Broadband 2-D DOA Estimation Based on Compressed Sensing

For the problem of two Dimensional Direction Of Arrival (2-D DOA) estimation, a broadband 2-D DOA algorithm is proposed based on the Compressed Sensing (CS). It can obtain the center frequency, azimuth angle and pitch angle of multiple narrowband signal. Firstly, an overcomplete sparse dictionary is established using the space frequency of azimuth and pitch. Then the high resolution estimation of space frequency is achieved with the compressed sampling array receiving data. Finally, the spatial filtering is used to realize the match of center frequency, azimuth angle and pitch angle. Theoretical analysis shows that the proposed algorithm has a higher estimation precision and lower SNR threshold without multidimensional search process. It reduces the computation by compressed sampling and the simulation results verify the effectiveness and correctness.