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dc.contributor.authorWhite, L.-
dc.contributor.authorElliott, R.-
dc.identifier.citationIEEE Transactions on Signal Processing, 2002; 50(5):1205-1214-
dc.descriptionCopyright © 2002 IEEE-
dc.description.abstractThis paper addresses the problem of estimating a rapidly fading convolutionally coded signal such as might be found in a wireless telephony or data network. We model both the channel gain and the convolutionally coded signal as Markov processes and, thus, the noisy received signal as a hidden Markov process (HMP). Two now-classical methods for estimating finite-state hidden Markov processes are the Viterbi (1967) algorithm and the a posteriori probability (APP) filter. A hybrid recursive estimation procedure is derived whereby one hidden process (the encoder state in our application) is estimated using a Viterbi-type (i.e., sequence based) cost and the other (the fading process) using an APP-based cost such as maximum a posteriori probability. The paper presents the new algorithm as applied specifically to this problem but also formulates the problem in a more general setting. The algorithm is derived in this general setting using reference probability methods. Using simulations, performance of the optimal scheme is compared with a number of suboptimal techniques-decision-directed Kalman and HMP predictors and Kalman filter and HMP filter per-survivor processing techniques-
dc.description.statementofresponsibilityLangford B. White and Robert J. Elliott-
dc.publisherIEEE-Inst Electrical Electronics Engineers Inc-
dc.subjectConvolutional decoding-
dc.subjectfading channels-
dc.subjecthidden Markov models-
dc.subjectper-survivor processing-
dc.titleA mixed MAP/MLSE receiver for convolutional coded signals transmitted over a fading channel-
dc.typeJournal article-
dc.identifier.orcidWhite, L. [0000-0001-6660-0517]-
Appears in Collections:Applied Mathematics publications
Aurora harvest 6
Electrical and Electronic Engineering publications

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