Title :
Combined ML and DFE Decoding for Coded Double STBC-OFDM System
Author :
Yoon, Chanho ; Lee, Hoojin ; Kang, Joonhyuk
Author_Institution :
Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea
fDate :
12/1/2010 12:00:00 AM
Abstract :
An efficient combined maximum likelihood (ML) and decision feedback equalization (DFE) decoding method is proposed for a coded double space-time block code orthogonal frequency division multiplexing (DSTBC-OFDM) system. For the missing bit log likelihood ratios (LLRs) in the DFE part, our proposed detector effectively exploits Gaussian approximated LLRs with reference to the colored noise covariance matrix. Simulation results demonstrate that the proposed method can achieve comparable performance to the coded full ML detectors with deterministic and lower complexity.
Keywords :
Gaussian processes; OFDM modulation; block codes; covariance matrices; decision feedback equalisers; maximum likelihood decoding; maximum likelihood detection; modulation coding; space-time codes; DSTBC-OFDM system; Gaussian approximated LLR; ML detectors; coded-double STBC-OFDM system; colored noise covariance matrix; combined ML-DFE decoding; decision feedback equalization decoding method; log likelihood ratios; maximum likelihood decoding method; space-time block code orthogonal frequency division multiplexing system; Decision feedback equalizers; Detectors; Interference; Maximum likelihood decoding; Noise; OFDM; LLR demapping; STBC-OFDM; double STBC; spatial multiplexing/diversity;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2010.100810.101349