DOA estimation on CACIS-type array based on fast-Rvm algorithm

Abstract

Aiming at the fast and high-precision DOA estimation problem on CACIS-type array, this paper proposes a fast-RVM algorithm which can be used for complex data. Firstly, the CACIS-type array structure is analyzed. Secondly, based on the virtual array expansion principle, a sparse signal model based on complex data is constructed. Finally, the real data processing is performed to make it applicable to the data structure of the fast-RVM algorithm. The simulation results show that the proposed method has ideal effects in both direction finding accuracy and computational complexity.