Decision-feedback differential detection based on linear prediction for 16DAPSK signals transmitted over flat Ricean fading channels

TitleDecision-feedback differential detection based on linear prediction for 16DAPSK signals transmitted over flat Ricean fading channels
Publication TypeJournal Article
Year of Publication2001
AuthorsSchober, R., W. H. Gerstacker, and J. B. Huber
JournalCommunications, IEEE Transactions on
Volume49
Pagination1339 -1342
Date Publishedaug.
ISSN0090-6778
Keywords16DAPSK signals, amplitude shift keying, blind starting algorithm, carrier frequency offset compensation, differential detection, differential phase shift keying, differentially encoded amplitude/phase-shift keying, feedback, flat Ricean fading channels, land mobile radio, least squares approximations, linear predictor coefficients, mobile communications, modulation coding, nonstationary mobile channel statistics, performance gain, prediction theory, prediction-based decision-feedback differential detection, recursive least-squares algorithm, Rician channels
Abstract

In this article, prediction-based decision-feedback differential detection (DF-DD) for 16-level differentially encoded amplitude/phase-shift keying is proposed. Unlike previously reported DF-DD schemes, this scheme provides a performance gain over conventional differential detection under general Ricean fading conditions. A further important advantage of the novel scheme is that it is able to compensate a small carrier frequency offset. The linear predictor coefficients may be updated using the recursive least-squares algorithm, which can start blind, i.e., without a priori knowledge about the channel statistics and without a training sequence. This makes the scheme attractive for application in mobile communications since the statistics of a nonstationary mobile channel can be tracked

URLhttp://dx.doi.org/10.1109/26.939846
DOI10.1109/26.939846

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