Iterative Multiuser Detection for Convolutional Coded FFH/MFSK Systems

Conference: TURBO - CODING - 2006 - 4th International Symposium on Turbo Codes & Related Topics; 6th International ITG-Conference on Source and Channel Coding
04/03/2006 - 04/07/2006 at Munich, Germany

Proceedings: TURBO - CODING - 2006

Pages: 5Language: englishTyp: PDF

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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)

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.