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On Joint Estimation and Decoding for Channels with Noise Memory
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AI
DOI：10.1109/LCOMM.2009.090704.png)
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Abstract
En 中文
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.
Keywords:
Impulsive noise
Markov channel
joint estimation and decoding
MAP decoding
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