Comparison of CW Radar Systems for Radar Applications using Object Detection and Real-Time Tracking
Cesar Martinez Melgoza, Kiran George, Jake Miho · 2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) · 2022
Since their prevalence in World War II, Radar-based systems have provided a strategic advantage for military applications. Since then, radars have merged into everyday commercial products ranging from Automotive sensors for adaptive cruise control, to home security systems used to protect one’s home. Due to their various use cases for pattern recognition, classification, and Computer Vision tasks, many radar-systems incorporate machine learning models. This paper aims to implement a real-time tracking system comprised of a low-cost transceiver and Computer Vision model. To determine the most optimal setup, the study will compare implementations that include two low-cost transceivers and two different weights from the YOLOv3 algorithm. The comparison will determine the most optimal constraints for the tracking system by measuring system latency, and classification confidence.