Abstract:

The problem of high computational complexity will be caused if compressed sensing (CS) is directly applied to twodimensional (2D) direction of arrival (DOA) Estimation of coherent sources. To solve this problem, a 2D DOA estimation method based on reduction dimension sparse reconstruction (RDSR) is proposed. The proposed method converts the construction of a 2D redundancy dictionary into that of a 1D dictionary by using the special array structure. In addition, a pairmatching scheme is proposed based on spatial spectrum reconstruction of the subdictionary. Therefore, the proposed method not only reduces the computational complexity but also improves the pairing probability of success. Simulation results show that the estimated performance of the method is close to the CramérRao lower bound (CRLB), even in the case of low signaltonoise ratio (SNR), small number of snapshots and small angle interval, the estimation performance is still good.