Adaptive iterative detection for turbo codes on flat fading channels

Jun Heo, Keith M. Chugg

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

6 Citations (Scopus)

Abstract

Several structures for Adaptive Iterative Detection (AID) for fading channels have been described in the literature. One approach to AID, iterative detection with a decoupled estimator, has been proposed with hard decision feedback. Recently, it was noted that a soft decoder (e.g., turbo decoder) makes it possible to feed back soft information on data to the decoupled channel estimator. In this paper we present adaptive iterative detection with a decoupled channel estimator (decoupled-AID) based on hard or soft decision feedback from a turbo decoder. The performance of the decoupled-AID on two modulation methods (e.g, Punctured-QPSK,8PSK) is compared. As a decoupled channel estimator, the Wiener filter and Kalman filter are considered based on probabilistic channel models. A new feedback method, which uses partial soft information with or without amplitude normalization, is proposed.

Original languageEnglish
Title of host publication2000 IEEE Wireless Communications and Networking Conference
Pages134-139
Number of pages6
Publication statusPublished - 2000
Externally publishedYes
Event2000 IEEE Wireless Communications and Networking Conference - Chicago, IL, United States
Duration: 2000 Sep 232000 Sep 28

Publication series

Name2000 IEEE Wireless Communications and Networking Conference

Other

Other2000 IEEE Wireless Communications and Networking Conference
CountryUnited States
CityChicago, IL
Period00/9/2300/9/28

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Heo, J., & Chugg, K. M. (2000). Adaptive iterative detection for turbo codes on flat fading channels. In 2000 IEEE Wireless Communications and Networking Conference (pp. 134-139). (2000 IEEE Wireless Communications and Networking Conference).