Abstract:

In order to reduce the computational complexity and increase the estimation accuracy of the traditional high-resolution methods used in uniform planar array with strongly correlated or multi-path incident signals, a beamspace multiple signal classification (MUSIC) method based on two-dimensional spatial smoothing is proposed. Spatial smoothing is implemented along both dimensions firstly to de-correlate the coherent signals. Then the de-correlated array data in element space are transformed to that in beamspace with much smaller size. Finally, 2D angles of coherent signals are obtained by using the beamspace MUSIC. The novel method can de-correlate  the coherent signals effectively, and can obtain more robust estimation properties with much lower computational burden compared with the traditional high-resolution methods. Simulation results verify the effectiveness of the proposed method.