Direction of arrival estimation in multipath environments using ICA and wavelet array denoising
Mohammad Ashouri Golroudbari, Morteza Daneshkar Allam · 2011
In this paper, a new Direction of Arrival (DOA) estimation method is proposed with uniform linear array when both uncorrelated and coherent sources are present. After denoising the received data by wavelet transform, first the DOAs of uncorrelated signals are estimated using Independent Component Analysis (ICA). Afterwards, the information of uncorrelated signals is eliminated and a new matrix is constructed based on covariance differencing. Then, the DOAs of coherent signals can be resolved by performing the Forward-Backward Spatial Smoothing (FBSS) technique on the new matrix. The proposed method has high accuracy and good performance. The simulation results confirm the effectiveness of the proposed method.