In this work, we propose a novel algorithm for adaptive demodulation in impulse noise channels. The proposed method computes appropriate log-likelihood ratios (LLR) based on four previously established parameter estimation techniques of Symmetric $\alpha -$Stable 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 $\alpha -$Stable interference. The proposed adaptive demodulation technique can be used to improve decoding or demodulation performance in many real-world situations where non-Gaussian interference commonly occurs.


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    Title :

    Adaptive Demodulation in Symmetric Alpha-Stable Impulse Noise Channels


    Contributors:


    Publication date :

    2020-05-01


    Size :

    122802 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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