Iterative multiuser detection for convolutional coded FFH/MFSK systems

Ye Shun Shen, Szu Lin Su, Her Chang Tsai, Che Ming Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationTurbo Codes and Related Topics; 6th International ITG-Conference on Source and Channel Coding (TURBOCODING), 2006 4th International Symposium on
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9783800729470
Publication statusPublished - 2006 Jan 1
Event6th International ITG-Conference on Source and Channel Coding and 2006 4th International Symposium on Turbo Codes and Related Topics, TURBOCODING 2006 - Munich, Germany
Duration: 2006 Apr 32006 Apr 7

Publication series

NameTurbo Codes and Related Topics; 6th International ITG-Conference on Source and Channel Coding (TURBOCODING), 2006 4th International Symposium on

Other

Other6th International ITG-Conference on Source and Channel Coding and 2006 4th International Symposium on Turbo Codes and Related Topics, TURBOCODING 2006
CountryGermany
CityMunich
Period06-04-0306-04-07

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing

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