Abstract
Abstract : The project met the objectives of developing and transitioning fundamental advances in reduced-rank adaptive signal processing. The methods have been applied to space-time equalization and interference cancellation with application to high-speed, MIMO wireless military digital communications. There was an emphasis on exploitation of second-order spatial statistics of the channel and temporal statistics of the interference to design transceivers for multi-antenna wireless communication systems. Based on space-time spreading, we showed that if signals are transmitted along the strongest eigen-direction of the channel and the weakest eigen-direction of the interference, the average SINR is maximized. We also derive optimally power loaded space-time beam-forming (STBF) schemes and show that if strong channels coincide with weak interference, then error probability reduces considerably. In order to increase transmission rates, we combined Space-Time Block Coding STBC with Space-Time Beamforming (STBF) and developed power loading schemes and low-complexity receivers. Our analytical and simulated results corroborate that STBF with optimal power loading considerably reduces error probability and channel estimator errors.
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