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On joint estimation and decoding for channels with noise memory

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2 Author(s)
Jeebak Mitra ; Department of Electrical and Computer Engineering. The University of British Columbia, Vancouver, British Columbia, Canada. ; Lutz Lampe

In this letter we consider coded transmission over interference channels where the interference occurs in bursts and hence is considered to be impulsive. The bursty nature of the interference leads to memory in the overall noise process which is modeled as a 2-state Markov chain. Recent work on coded transmission for such channels has proposed decoding techniques assuming that perfect knowledge of the interference statistics are available at the receiver. In this work, we aim at completing the picture by proposing a novel algorithm that decodes without the knowledge of the interference statistics and highlighting the differences between the two cases.

Published in:

IEEE Communications Letters  (Volume:13 ,  Issue: 10 )