Optimal weighting for ML decoding of convolution code in COFDM systems

J. Cho, C. Yoon, N. Cho, H. Jun, D. Hong

Research output: Contribution to journalConference articlepeer-review


When convolution code is used in wireless coded orthogonal frequency division multiplexing (COFDM) systems, effective maximum likelihood (ML) decoding requires information on the frequency response of each subcarrier. This translates into increased hardware complexity, for instance, in the form of an additional de-interleaving block. In our paper, we propose an optimal weighting scheme that combines the metrics for soft-decision and channel influence into a single metric, can be performed before the de-interleaving block, and makes ML decoding possible. It shows comparable performance to ML decoding and better performance over suboptimal decoders.

Original languageEnglish
Pages (from-to)796-799
Number of pages4
JournalIEEE Vehicular Technology Conference
Issue number53ND
Publication statusPublished - 2001
EventIEEE VTS 53rd Vehicular Technology Conference (VTS SPRING 2001) - Rhodes, Greece
Duration: 2001 May 62001 May 9

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


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