Semi-blind beamspace-time interference cancellation using subspace channel identification for DS-WCDMA systems

It was shown recently that semi-blind methods can be effective for separation, estimation, and classification of sources in wireless systems. These methods overcome difficulties of training algorithms (reduction of data information throughput) and blind ones (impossibility to classify separated source and multi-modal optimization due to nonlinearities). In this paper, we present a semi-blind spatial-temporal beamforming receiver that uses the recently proposed semi-blind constant modulus algorithm with channel identification (SBCMACI) to perform joint channel equalization, multipath energy combination and spatial interference cancellation for asynchronous direct sequence wide band code division multiple access (DS-WCDMA) systems. The simulation results show a significant performance improvement and reduction of required training symbols when compared against a receiver employing a training-based spatial-temporal recursive least squares (RLS) beamformer.