Improved demapping for channels with data-dependent noise
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(Published version)
Date
2018
Authors
Layton, K.J.
Mehboob, A.
Cowley, W.G.
Lechner, G.
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EURASIP Journal on Wireless Communications and Networking, 2018; 2018(1):1-12
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Abstract
A new demapper is presented for communication channels that can be modeled with data-dependent noise on the received symbols. This includes optical and satellite channels with various types of distortion. The demapper incorporates the covariance information of the received symbol clusters to capture noise variation across the constellation and any dependency between the in-phase and quadrature components. Two communication scenarios are considered, and it is shown that the demapper is advantageous when a system is dominated by distortion as opposed to thermal noise. Channel coding considerations are presented, and reductions up to 4 dB inthe required SNR are achieved.
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Copyright 2018 The Author(s). Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/)