DocumentCode :
1992712
Title :
Reduced ML-Decoding Complexity, Full-Rate STBCs for 2a Transmit Antenna Systems
Author :
Srinath, K. Pavan ; Rajan, B. Sundar
Author_Institution :
Dept of ECE, Indian Inst. of Sci., Bangalore, India
fYear :
2010
fDate :
6-10 Dec. 2010
Firstpage :
1
Lastpage :
5
Abstract :
For an nt transmit, nr receive antenna system (nt × nr system), a fall-rate space time block code (STBC) transmits nmin = min(nt, nr) complex symbols per channel use and in general, has an ML-decoding complexity of the order of Mntnmin (considering square designs), where M is the constellation size. In this paper, a scheme to obtain a fullrate STBC for 2a transmit antennas and any nτ, with reduced ML-decoding complexity of the order of Mnt(nmin-3/4)-0.5, is presented. The well known Silver code for 2 transmit antennas is a special case of the proposed scheme. Further, it is shown that the codes constructed using the scheme have higher ergodic capacity than the well known punctured Perfect codes for nr <; nt. Simulation results of the symbol error rates are shown for 8 × 2 systems, where the comparison of the proposed code is with the punctured Perfect code for 8 transmit antennas. The proposed code matches the punctured Perfect code in error performance, while having reduced ML-decoding complexity and higher ergodic capacity.
Keywords :
channel coding; maximum likelihood decoding; space-time block codes; transmitting antennas; 2a transmit antenna system; ML-decoding complexity; complex symbols; ergodic capacity; error performance; full rate STBC; receive antenna; space time block code; symbol error rates; Block codes; Complexity theory; MIMO; Maximum likelihood decoding; Receiving antennas; Signal to noise ratio; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE
Conference_Location :
Miami, FL
ISSN :
1930-529X
Print_ISBN :
978-1-4244-5636-9
Electronic_ISBN :
1930-529X
Type :
conf
DOI :
10.1109/GLOCOM.2010.5683711
Filename :
5683711
Link To Document :
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