Effective Interference Suppression Via Spatio-Temporal Block Decorrelation

In this paper, we present an effective method for suppressing spatially and temporally correlated interference. The method treats adjacent temporal samples of the received signal as signal branches coming from additional antennas and uses conventional methods for cancelling spatially correlated interference to decorrelate blocks of spatio-temporal signal samples. Based on a maximum-likelihood formulation, two algorithms for jointly estimating the channel response, the synchronization position, and the spatio-temporal block decorrelation matrix are derived. A multiple-input-single-output prefilter is used to combine the multiple signal branches generated by the proposed method into a single branch so that conventional single-branch equalizers can be employed. In the case of single-antenna interference cancellation (SAIC) in GSM terminals, the proposed technique achieves substantial performance gains over conventional interference-rejection techniques in various interference scenarios.