TY - JOUR
T1 - Semiblind EM-based iterative receivers for space-time-coded modulation and quasi-static frequency-selective fading channels
AU - Souza, Richard Demo
AU - Garcia-Frias, Javier
AU - Haimovich, Alexander M.
N1 - Funding Information:
Manuscript received August 13, 2004; revised March 29, 2005 and August 11, 2005. This work was supported in part by a CNPq Doctorate Grant 141577/2001-0, the CAPES Foundation under Grant BEX 2506/02-5, and an NSF CAREER Award CCR-0093215. The review of this paper was coordinated by Prof. R. Heath.
PY - 2006/7
Y1 - 2006/7
N2 - This paper introduces two different iterative receivers for space-time-coded data transmitted through frequency-selective fading channels. Both receivers perform maximum a posteriori data detection and decoding, and operate semiblindly by making use of the expectation maximization (EM) algorithm to estimate the unknown channel. The first receiver utilizes a supertrellis to jointly describe the channel and the code, while in the second one, this description is accomplished with two separated trellises. The two approaches are compared in terms of trellis complexity, achievable diversity level, and bit error rate (BER). The supertrellis approach is less computationally demanding and has a faster convergence rate, while the separate approach can achieve a higher diversity level and thus a smaller BER. This tradeoff is explored with examples and computer simulations, which show that, in many cases, the supertrellis approach can be a better solution than the separate approach.
AB - This paper introduces two different iterative receivers for space-time-coded data transmitted through frequency-selective fading channels. Both receivers perform maximum a posteriori data detection and decoding, and operate semiblindly by making use of the expectation maximization (EM) algorithm to estimate the unknown channel. The first receiver utilizes a supertrellis to jointly describe the channel and the code, while in the second one, this description is accomplished with two separated trellises. The two approaches are compared in terms of trellis complexity, achievable diversity level, and bit error rate (BER). The supertrellis approach is less computationally demanding and has a faster convergence rate, while the separate approach can achieve a higher diversity level and thus a smaller BER. This tradeoff is explored with examples and computer simulations, which show that, in many cases, the supertrellis approach can be a better solution than the separate approach.
KW - Combined estimation
KW - Detection and decoding
KW - Expectation maximization (EM) algorithm
KW - Space-time coding
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U2 - 10.1109/TVT.2006.877461
DO - 10.1109/TVT.2006.877461
M3 - Article
AN - SCOPUS:33746466661
SN - 0018-9545
VL - 55
SP - 1259
EP - 1268
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 4
ER -