DocumentCode :
1801455
Title :
Joint channel and data estimation for MIMO communications using sparse pilots
Author :
Yejian Chen ; ten Brink, Stephan
Author_Institution :
Bell Labs., Alcatel-Lucent, Stuttgart, Germany
fYear :
2012
fDate :
4-7 Nov. 2012
Firstpage :
1152
Lastpage :
1156
Abstract :
We present a joint channel and data estimation algorithm for communication across multiple antenna channels, and illustrate its performance by example of a 2 × 1 Alamouti Space-Time Code (STC) scheme as well as a 2 × 2 Spatial Multiplexing (SMX) scheme. The dedicated trellis tracking algorithm allows to estimate multiple channel coefficients in parallel while simultaneously performing a posteriori Probability (APP) detection of the transmitted bits. Link layer simulations show that the ergodic capacity can be gradually approached with incremental a priori knowledge, as stemming from an outer channel decoder, even in situations with very sparsely distributed pilot symbols, where conventional channel estimators would fail.
Keywords :
MIMO communication; antenna arrays; channel coding; channel estimation; codecs; space division multiplexing; space-time codes; Alamouti space-time code; MIMO communications; STC; a posteriori Probability; channel decoder; channel estimation; channel estimators; data estimation algorithm; ergodic capacity; link layer simulations; multiple antenna channels; sparse pilots; sparsely distributed pilot symbols; spatial multiplexing scheme;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers (ASILOMAR), 2012 Conference Record of the Forty Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
978-1-4673-5050-1
Type :
conf
DOI :
10.1109/ACSSC.2012.6489201
Filename :
6489201
Link To Document :
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