Adaptive Demodulation in Class a Impulse Noise Channels
| Autor: | Kristoffer Hagglund, Erik Axell |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Computer science
Estimation theory Monte Carlo method Radio receiver 020206 networking & telecommunications 02 engineering and technology Interference (wave propagation) Impulse noise 01 natural sciences Electromagnetic interference 010305 fluids & plasmas law.invention Noise Interference (communication) law 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Demodulation Algorithm Decoding methods Computer Science::Information Theory Communication channel |
| Zdroj: | GLOBECOM |
| DOI: | 10.1109/globecom38437.2019.9013968 |
| Popis: | Electromagnetic interference can cause severe performance degradation on wireless communication systems. The performance degradation is largely affected by the characteristics of the interference. With knowledge of the actual interference environment, radio receivers can be adapted to interference characteristics, and thereby providing greatly improved performance. In this work, we propose two different methods for adaptive demodulation in impulse noise. The proposed methods compute appropriate log- likelihood ratios (LLR) based on classification and parameter estimation, respectively, of Middleton's Class A noise. The methods are evaluated with Monte Carlo simulations and shown to outperform the compared demodulators. Simulations show that the methods perform close to the theoretical limit in different proportions of impulse noise and in pure, randomized Class A interference. The proposed adaptive demodulation techniques can be used to improve decoding or demodulation performance in many real-life situations where non-Gaussian interference commonly occurs. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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