mlsanityData to 13 Oct 2026

Algorithm for AGC index management against crowded radio environment

arXiv 2404.08652 ↗First posted 19 Mar 2024cs.NI cs.AI cs.LGcited by 0

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Abstract (arXiv)

This paper describes a receiver that uses an innovative method to predict, according to history of receiver operating metrics (packet lost/well received), the optimum automatic gain control (AGC) index or most appropriate variable gain range to be used for next packet reception, anticipating an interferer appearing during the payload reception. This allows the receiver to have higher immunity to interferers even if they occur during the gain frozen payload reception period whilst still ensuring an optimum sensitivity level. As a result, the method allows setting the receiver gain to get an optimum trade-off between reception sensitivity and random interferer immunity.

Key facts. No citing papers in the map yet (data through 13 Oct 2026). Builds on 1 of its 20 references that are in the map. First posted on arXiv 19 Mar 2024.

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References · 1

  1. 2021Noise Learning Based Denoising Autoencodercited by 6

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