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OFDM with multiple antennas has been considered in the future wireless communication systems. The challenge in the detection of a space-time signal is to design a low-complexity detector, which can remove interference resulted from channel variations and approach the interference-free bound. In this book, we employ an iterative receiver with a decoder metric, so that the bias effect in the iterations is considerably reduced, which is critical for the performance of the iterative algorithm. A new algorithm is proposed for intercarrier interference cancellation in high mobility scenarios.…mehr

Produktbeschreibung
OFDM with multiple antennas has been considered in the future wireless communication systems. The challenge in the detection of a space-time signal is to design a low-complexity detector, which can remove interference resulted from channel variations and approach the interference-free bound. In this book, we employ an iterative receiver with a decoder metric, so that the bias effect in the iterations is considerably reduced, which is critical for the performance of the iterative algorithm. A new algorithm is proposed for intercarrier interference cancellation in high mobility scenarios. Furthermore, a simplified method is developed to reduce the computation complexity in the frequency- domain equalizer. In time-variant scenarios, we investigate a pilot-assisted channel estimation method under the assumption that the channel can be approximated by a linear model. The estimated channel will be used to update the frequency-domain equalizer and parallel interference canceler (PIC) inthe iterative MIMO-OFDM receiver. It is shown that the proposed equalization algorithm with estimated channel state information can mitigate the effect of ICI effectively.
Autorenporträt
Rui Li received the B.E. from Harbin Institute of Technology, China and M.E. degree from the University of Sydney, Australia, respectively. He is currently working in the School of Electrical and Information Engineering, the University of Sydney, Australia.