Unitary Cyclic Doa Algorithms for Coherent Cyclostationary Signals

Two signal selective Unitary Cyclic DOA algorithms are presented by introducing a new forward-backward smoothed covariance matrix. Compared with conventional Cyclic DOA algorithms, the suggested approaches have better performance in the presence of multipath propagation. In addition, these approaches not only allow to select desired signals and to ignore interferences by exploiting the cyclostationarity property of signals of interest (SOIs), but also reduce the computational complexity by real-valued eigendecomposition. Simulation results that illustrate the performance of these approaches in conjunction with conventional Cyclic DOA algorithms are described