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Spiking Neural Networks for Detecting Satellite-Based Internet-of-Things Signals

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posted on 2023-04-07, 23:21 authored by Kosta DakicKosta Dakic, Bassel Al HomssiBassel Al Homssi, Sumeet Walia, Akram Al-Hourani

The obtained results demonstrate a significantly enhanced detection performance under heavy interference conditions when employing spiking-based and deep learning detection techniques, as opposed to traditional baseline matched-filter methods. Although spiking-based detection approaches exhibit error rates comparable to those of deep learning techniques, they consume considerably less power – several orders of magnitude lower, in fact. Owing to their power efficiency, spiking-based detection networks emerge as the optimal choice for signal detection in resource-limited systems, such as low-Earth orbit satellites.


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RMIT University, Melbourne, Australia

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  • Australia