DOA Estimation Method for Cyclostationary Signals Based on Signal Sparse Recovering
Mao Yunxiang · Journal of Microwaves · 2013
Based on the idea of signal sparse recovering,a new direction of arrival(DOA) estimation method is proposed for uncorrelated cyclostationary signals.Firstly,by applying vectorization on the second order cyclic autocorrelation matrix of the array and by dividing the space of interest into several sectors to construct the overcomplete direction matrix,the sparse model for cyclostationary signal based on Khatri-Rao product is obtained.Then,by applying the convex technique to the model,the DOA values with high precision are estimated according to the poison of nonzero elements of the restored sparse signal.Compared with the conventional cyclic method,the proposed method has higher precision,and is also suitable to the scenario that the number of signals is more than that of arrays.The validity of the method is supported by simulation results.