Improved upper bound on the bit error probability of turbo codes for ML decoding with imperfect CSI in a Rayleigh fading channel

نویسندگان

  • Hyundong Shin
  • Jae Hong Lee
چکیده

− In this paper, we investigate an improved upper bound on the bit error probability of turbo codes for the maximum likelihood (ML) decoding with imperfect channel state information (CSI) in a fully interleaved Rayleigh fading channel. The upper bound is based on recently introduced Viterbi & Viterbi bound and is also compared with iterative decoding using the Log-MAP algorithm. It is shown that the upper bound well approximates the simulation results of the iterative decoding below the BER of . 5 10

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تاریخ انتشار 2002