Unitary Cyclic MUSIC algorithm in a multipath environment

A signal selective Unitary Cyclic MUSIC algorithm is presented by introducing a new forward backward smoothed covariance matrix. Compared with Cyclic MUSIC algorithm, the suggested approach has a better performance in the presence of multipath propagation. In addition, this approach not only reduces the computational complexity by real-valued eigendecomposition, but also allows to select desired signals and to ignore interferences by exploiting the cyclostationarity property of signals of interest (SOIs). Simulation results that illustrate the performance of this approach in conjunction with Cyclic MUSIC algorithm are described.