Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/2405
Citations | ||
Scopus | Web of Science® | Altmetric |
---|---|---|
?
|
?
|
Type: | Journal article |
Title: | A mixed MAP/MLSE receiver for convolutional coded signals transmitted over a fading channel |
Author: | White, L. Elliott, R. |
Citation: | IEEE Transactions on Signal Processing, 2002; 50(5):1205-1214 |
Publisher: | IEEE-Inst Electrical Electronics Engineers Inc |
Issue Date: | 2002 |
ISSN: | 1053-587X |
Statement of Responsibility: | Langford B. White and Robert J. Elliott |
Abstract: | This 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 |
Keywords: | Convolutional decoding fading channels hidden Markov models per-survivor processing |
Description: | Copyright © 2002 IEEE |
DOI: | 10.1109/78.995087 |
Published version: | http://dx.doi.org/10.1109/78.995087 |
Appears in Collections: | Applied Mathematics publications Aurora harvest 6 Electrical and Electronic Engineering publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
hdl2405.pdf | 364.14 kB | Publishers PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.