A 2-Dimensional Correlation Interferometer Algorithm Based on Dimension Separation

A 2-dimensional correlation interferometer algorithm based on dimension separation is proposed and can be widely applicable to arbitrary geometry arrays. The approach simplifies the original 2-dimensional angle searching by dividing it into two 1-dimensional searching corresponding to azimuth angle and elevation angle, thus reduces the computational complexity. Meanwhile it ensures the direction finding precision of correlation interferometer. Simulation results indicate the effectiveness of the method, which highly improves the speed of the broadband direction finding system.