DocumentCode
425903
Title
A list sphere decoder based turbo receiver for groupwise space time trellis coded (GSTTC) systems
Author
Dai, Yongmei ; Sun, Sumei ; Lei, Zhongding ; Li, Yuan
Author_Institution
Inst. for Infocomm Res., Singapore
Volume
2
fYear
2004
fDate
17-19 May 2004
Firstpage
804
Abstract
A list sphere decoder (LSD) based turbo receiver is introduced for groupwise space time trellis coded (GSTTC) systems. It can approach the single-user bound by iteratively exchanging soft information between the LSD and the soft-input soft-output (SISO) maximum a posteriori (MAP) space time trellis (STT) decoder. The LSD approximates the SISO maximum likelihood (ML) channel detector using only a subset of hypotheses, and thus greatly reduces the computational complexity. Simulation results show that good FER and BER performances as well as fast convergence can be achieved with a very small list for simple STT codes with a small number of states. For more powerful codes with more states, a large list is required. Compared with the linear minimum mean square error (LMMSE) turbo receiver, the proposed receiver is more flexible and converges faster. Its performance can always be improved by increasing the list size, but at the cost of increased complexity. For higher order modulation, the performance gain is larger.
Keywords
computational complexity; convergence of numerical methods; error statistics; iterative decoding; maximum likelihood decoding; maximum likelihood detection; radio receivers; space-time codes; trellis codes; turbo codes; BER; FER; MIMO systems; ML channel detector; MMSE receiver; SISO MAP decoder; STTC systems; computational complexity; groupwise space time trellis coded systems; higher order modulation; linear minimum mean square error receiver; list sphere decoder; maximum a posteriori decoder; maximum likelihood channel detector; single-user bound; soft-input soft-output decoder; space time codes; space time trellis decoder; transmit diversity; turbo receiver; Bit error rate; Computational complexity; Computational modeling; Convergence; Costs; Detectors; Iterative decoding; Maximum likelihood decoding; Maximum likelihood detection; Mean square error methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference, 2004. VTC 2004-Spring. 2004 IEEE 59th
ISSN
1550-2252
Print_ISBN
0-7803-8255-2
Type
conf
DOI
10.1109/VETECS.2004.1388940
Filename
1388940
Link To Document