Impulsive Noise Parameter Estimation: A Deep CNN-LSTM Network Approach

Alka Isac,Bassant Selim, Zeinab Sobhanigavgani,Georges Kaddoum,Mallik Tatipamula

2021 4th International Conference on Advanced Communication Technologies and Networking (CommNet)（2021）

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摘要

Impulsive noise is a widespread phenomenon that can hinder the performance of wireless communication systems, especially given the wireless medium’s dynamic channel characteristics. To alleviate the effects of the noise, several mitigation techniques can be resorted to. In this context, information on the impulsive noise’s statistical parameters is generally required in order to optimize the mitig...

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关键词

Wireless communication,Deep learning,Gaussian noise,Neural networks,Estimation,Receivers,Rayleigh channels

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