PARAMETERS ESTIMATION AND RECEPTION OF HIGHLY CORRELATED SIGNALS OVER MIMO-CDMA COMMUNICATION CHANNEL

摘要

A new iterative space-time lifting pre-processing (STLP) decorrelating scheme is considered with a low-computational and linear space-time ML Beamformer to develop a robust JADE-Bartlett's method. Both JADE-Bartlett's algorithm and ML Beamformer are proposed to solve the circumvent problem encountered with joint angle and delay estimation (JADE) and reception of highly correlated signals over MIMO-CDMA multipath communication channel. An improved optimization approach which concentrates the multidimensional and nonlinear likelihood function (LF) with respect to the space-time channel parameters is considered when deriving the 2D-ML Beamformer. Moreover, applying the proposed iterative STLP scheme, a few snapshots can be sufficient at decorrelating the incoming multipath signals in such perfect coherent case even with sources overlaying in space and time domains. To that end, the computational loads as well as the number of independent parameters to be estimated are reduced which leads to a more efficient implementation of the proposed algorithm. Basic performances of the proposed estimation and reception method are assessed through simulations and are compared with some relevant algorithms.