A DOA Estimation Method with High Resolution in the Presence of Satellite Array Error

Compression-sensing-based DOA estimation method can overcome the disadvantages of the traditional spatial spectral estimation algorithm, but the calculation task is heavy and time-consuming, which is limited by the power and processing capability on satellite. At the same time, with the change of the space environment and the aging of the devices, the satellite array error problem will appear. Therefore, we proposed a joint subspace decomposition and compressed sensing approximation algorithm to solve the problem of DOA estimation. We first use the Fast Root-MUSIC algorithm to correct the satellite array error and perform a preliminary DOA estimation to reduce the search range of the compressed sensing algorithm, then performed an accurate estimation of the DOA by the L1-svd algorithm. Simulation results show that the proposed algorithm has better performance and less computation complexity under low signal to noise ratio, small fast beat number, as well as in the presence of array error.