Title :
Adaptive decoding for space time codes with imperfect channel estimation, using the bootstrap algorithm
Author :
Laufer, Amir ; Bar-Ness, Yeheskel
Author_Institution :
Center of Wireless Commun. & Signal Process. Res., New Jersey Inst. of Technol., Newark, NJ, USA
Abstract :
Space time coding is a powerful technique to exploit transmitter diversity. Nevertheless, to enjoy its full potential performance, a perfect knowledge of the channel state information should be available at the receiver. Since even small channel estimation error results in severe performance lose, a long, rate consuming training sequences should be used to minimize these estimation errors. Hence, presenting an undesired tradeoff between rate and performance. Applying the ”bootstrap” algorithm; an adaptive decoder, can mitigate the effect of estimation errors, hence enables a way out of this deadlock, by achieving high performance transmission while reducing the required length of the training sequences.
Keywords :
adaptive decoding; channel estimation; diversity reception; source separation; space-time codes; adaptive decoding; bootstrap algorithm; channel state information; estimation errors; imperfect channel estimation; signal separation; space time codes; training sequences; transmitter diversity; Imperfect Channel Estimation; Space time codes;
Conference_Titel :
GLOBECOM Workshops (GC Wkshps), 2010 IEEE
Conference_Location :
Miami, FL
Print_ISBN :
978-1-4244-8863-6
DOI :
10.1109/GLOCOMW.2010.5700446