Iterative Multiuser Detection for Convolutional Coded FFH/MFSK Systems
Konferenz: TURBO - CODING - 2006 - 4th International Symposium on Turbo Codes & Related Topics; 6th International ITG-Conference on Source and Channel Coding
03.04.2006 - 07.04.2006 in Munich, Germany
Tagungsband: TURBO - CODING - 2006
Seiten: 5Sprache: EnglischTyp: PDF
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Autoren:
Shen, Ye-shun (Department of Aeronautical Engineering, National Formosa University)
Su, Szu-Lin; Tsai, Her-Chang; Lin, Che-Ming (The Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung University)
Inhalt:
A turbo principle based iterative multiuser detection is proposed to reduce the BER in convolutional coded FFH/MFSK MA systems. The proposed algorithm for the multiuser detector is an iterative interference cancellation (IIC) scheme which is composed of a bank of soft-input soft-output (SISO) channel decoders. The reliable information from channel decoder is adopted to aide multiuser interference cancellation. For both the two-value and three-value system, detection thresholds are determined via Monte Carlo simulation. Numerical results show that three-value hard-limit system outperform two-value system.