DocumentCode :
415216
Title :
Maximum likelihood decoding rules for STBC generalized framework for detection and derivation of accurate upperbounds
Author :
Mohammad-Khani, G.R ; Meghdadi, V. ; Cances, J.-P. ; Azizi, L.
Author_Institution :
ENSIL-GESTE, Limoges Univ., France
Volume :
5
fYear :
2004
fDate :
20-24 June 2004
Firstpage :
2578
Abstract :
In this paper we propose the new decoding rules for STBC (space-time block codes) using the maximum likelihood (ML) principles. Using algebraic tools we are able to derive a simple matrix model which is very easy to implement in the simulation. After giving our particular detection rules, we determine a new accurate upperbound for the BER performances of STBC transmitting schemes. Simulation results are given which show the accuracy of the derived upperbound.
Keywords :
block codes; error statistics; matrix algebra; maximum likelihood decoding; space-time codes; BER performances; STBC generalized framework; bit error rate; matrix model; maximum likelihood decoding rules; space-time block codes; upperbound derivations; upperbound detection; Base stations; Bit error rate; Block codes; MIMO; Maximum likelihood decoding; Maximum likelihood detection; Random variables; Receiving antennas; Signal processing algorithms; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2004 IEEE International Conference on
Print_ISBN :
0-7803-8533-0
Type :
conf
DOI :
10.1109/ICC.2004.1312998
Filename :
1312998
Link To Document :
بازگشت