An Ultra Low Power Analog/Mixed-Signal Processor for a Smart RF Signal Classification System in the ISM Band

In this work, we propose an ultra-low power highly configurable analog/mixed-signal (AMS) processor as part of a smart RF signal detection and recognition system focusing on the ISM band. The analog feature extraction approach reduces power consumption at both circuit and system level with dynamic range and data rate reduction through smart feature selection. The implemented high configurability of the analog circuits enables detection and recognition of various signal types across a large variety of spectrum conditions. The proposed system achieves state-of-the-art accuracy with sub-mW power consumption.