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- W3039734299 abstract "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 α-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 α-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." @default.
- W3039734299 created "2020-07-10" @default.
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- W3039734299 date "2020-05-01" @default.
- W3039734299 modified "2023-09-27" @default.
- W3039734299 title "Adaptive Demodulation in Symmetric Alpha-Stable Impulse Noise Channels" @default.
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- W3039734299 doi "https://doi.org/10.1109/vtc2020-spring48590.2020.9129383" @default.
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