Real-valued 2D Root-MUSIC Algorithm Based on Row-column Synthesizing
Chu Hong-wei · Modern Radar · 2010
In low elevation region with multi-path propagation,the traditional high-resolution methods for 2D direction-of-arrival (2D DOA) estimation need eigen-decomposition or multi-dimensional spectral search,which are procedures with high computational complexity. In this paper,a dual-iteration algorithm based on row-column synthesizing and real-valued 2D Root-MUSIC is proposed to estimate the 2D DOA of target with multi-path echoes. Starting with some initial 2D angles,this method synthesizes the received data of a planar array into vectors along both the row and column directions. Then the real-valued Root-MUSIC is used to obtain the elevation and azimuth angles respectively. Finally,the weighted vectors for row-column synthesizing are reconstructed using the estimated 2D angles,and the 2D angles are obtained iteratively until they reach the given precision. This method is a simple procedure with a high convergence rate. Due to introduction of real-valued processing,the method de-correlates the coherent signals as well as reduces the computation burden further. Numerical simulation results verified the effectiveness of the method.