Title :
Space-time coding and Kalman filtering for diversity transmissions through time-selective fading channels
Author :
Liu, Zhiqiang ; Ma, Xiaoli ; Giannakis, Georgios B.
Author_Institution :
Dept. of Electr. & Comput. Eng., Minnesota Univ., Minneapolis, MN, USA
Abstract :
Most existing space-time (ST) coding schemes have been developed for flat fading channels. To offer antenna diversity gains, they rely on channel state information (CSI) acquired at the receiver through training, or, via blind channel estimation. Differential ST modulation obviates the need for CSI but is less effective in rapidly fading environments. This paper develops novel ST coders and decoders that enjoy transmit-diversity gains in the presence of time-selective fading channels. Modeling the time-selective channels as random processes, we employ Kalman filtering to estimate them and mitigate their effects so that symbol detection benefits from transmit-diversity. Computer simulations confirm that the proposed scheme achieves robust performance in time-selective channels with a few training symbols
Keywords :
Kalman filters; decoding; diversity reception; encoding; fading channels; filtering theory; parameter estimation; random processes; tracking filters; Kalman filtering; ST coders; ST decoders; antenna diversity gain; blind channel estimation; channel state information; channel tracking; computer simulations; differential space-time modulation; diversity transmission; flat fading channels; random processes; receiver; space-time coding; symbol detection; time-selective fading channels; training symbols; transmit-diversity gain; Blind equalizers; Channel state information; Computer simulation; Decoding; Diversity methods; Fading; Filtering; Kalman filters; Random processes; Receiving antennas;
Conference_Titel :
MILCOM 2000. 21st Century Military Communications Conference Proceedings
Conference_Location :
Los Angeles, CA
Print_ISBN :
0-7803-6521-6
DOI :
10.1109/MILCOM.2000.904980