Joint angle/Delay/Polarization Estimation by esprit-like method for multipath channel identification

The Joint Angle, Delay and Polarization Estimation (JADPE) problem is addressed in this paper when a linear uniform array of crossed dipoles is used to measure the signal. The proposed model preserves the shift invariance structure in sort of that ESPRIT method can be used for the joint parameters estimation. This method allows to reduce the computational cost with respect to the ML approach. An application of JADPE is discussed for multipath channel estimation in wireless communication. The simulations show that the use of the polarization diversity allows the JADPE method to provide more accurate estimates than the JADE method.