Joint decoding and estimation of spatio-temporally correlated binary sources

Izhar, Mohd Azri Mohd, Aljohani, Abdullah Jeza, Ng, Soon and Hanzo, Lajos (2018) Joint decoding and estimation of spatio-temporally correlated binary sources. IEEE Transactions on Vehicular Technology. (In Press)

Record type: Article

Abstract

In the context of distributed joint source-channel
coding, we conceive a joint decoding and estimation scheme for
binary Markov sources exhibiting spatio-temporal correlation.
The proposed scheme is designed based on the serial concatenation of a trellis coded modulation (TCM) scheme and a unityrate code. The symbol-based maximum a posteriori algorithm employed for TCM decoding is modified in order to exploit the source correlation. The estimation of both the spatial and temporal correlation parameters is performed jointly with the iterative decoding, hence allowing the estimated parameters to be updated after each iteration. Our simulation results reveal that when both the spatial and temporal correlation parameters are unknown, the proposed joint decoding and estimation scheme approaches the performance to the ideal system relying on perfectly known correlation parameters, therefore demonstrating the superiority of the proposed scheme.

Text

PDJ4_JDE_ST_Draft4 - Accepted Manuscript

Available under License University of Southampton Accepted Manuscript Licence.

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