DocumentCode
1749540
Title
Union bound on error probability of linear space-time block codes
Author
Sandhu, S. ; Paulraj, A.
Author_Institution
Packard 225, Stanford Univ., CA, USA
Volume
4
fYear
2001
fDate
2001
Firstpage
2473
Abstract
The design of practical coding techniques for the multiple antenna wireless channel is a challenging problem. A number of interesting solutions have been proposed ranging from block codes to trellis codes for the MIMO (multiple input, multiple output) channel. We consider linear block codes for the quasi-static, flat-fading, coherent MIMO channel. A linear code refers to an encoder that is linear with respect to scalar input symbols. We assume maximum likelihood decoding at the receiver. We provide a cohesive framework for analysis of linear codes in terms of a union bound on the conditional probability of symbol error. The error bound is a function of the instantaneous channel realization and does not make any assumptions on channel statistics. We show that the orthogonal block codes proposed by Tarokh, Jafarkhani and Calderbank, (see IEEE Trans. Information Theory, vol.45, no.5, p.1456-67, 1999) achieve the lowest error bound among all unitary codes and are in fact optimal
Keywords
MIMO systems; block codes; error statistics; fading channels; linear codes; maximum likelihood decoding; receiving antennas; transmitting antennas; trellis codes; MIMO channel; coherent MIMO channel; conditional probability; error probability; linear space-time block codes; maximum likelihood decoding; multiple antenna wireless channel; multiple input multiple output channel; optimal orthogonal block codes; quasi-static flat-fading channel; receive antennas; receiver; scalar input symbols; symbol error; transmit antennas; trellis codes; union bound; unitary codes; Block codes; Convolutional codes; Error probability; Fading; Linear code; Maximum likelihood decoding; Modulation coding; Transmitters; Transmitting antennas; Upper bound;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location
Salt Lake City, UT
ISSN
1520-6149
Print_ISBN
0-7803-7041-4
Type
conf
DOI
10.1109/ICASSP.2001.940502
Filename
940502
Link To Document