Performance of linear detectors using partial decision techniques in CDMA systems with multiple antenna

Partial decision variables exploit the code diversity available in a code division multiple access system by detecting the received signal over different portions of the signaling interval to produce multiple decision intervals. Decision variables can then be weighted using adaptive filtering techniques, improving signal to interference plus noise ratio. In this thesis, we integrate the partial decision variable technique with multiple antennas to further improve performance by exploiting spatial diversity without greatly increasing the complexity of the system. Specifically, we will demonstrate the use of the partial decision variable technique through simulated and measured channel data for different configurations of single and multiple antenna system with least mean square weighting. Further, a multiuser detection technique using partial decision variables is developed for space-code division multiple access which significantly reduces the effects of multi-access and self interference to provide good performance with low incremental complexity. Throughout this thesis we will show using simulations and discussion that the use of multiple partial decision variables provide better BER performance over single decision variable systems at higher signal to noise ratios. Overall the use of multiple PDV with properly chosen least mean square step sizes, can provide additional gain with relatively low increase in complexity