Adaptive radar system configuration tuning

Abstract: The talk focuses on an algorithm for parameters tuning for radar-based sensing systems for motion monitoring. The algorithm adapts parameters for better system performance according to the estimated motion zone properties, i.e. mean and maximum distance to objects and their velocities. A new approach for determination of radar height position and tilt angle is proposed and experimentally tested. The method uses radar measurement points cloud only and may be applied for optimization of distance and velocity ranges and reduction of artifacts. Error of tilt angle estimation is 0.7-1.6 degrees in range of 0-45 degrees. Height estimation error depends on moving object height and is less than 1 m. The main goal of algorithm is estimation of motion zone and corresponding adaptive change of radar-system configuration parameters for optimizing system's field of view and performance. The proposed approach may be used for indoor and outdoor motion detection and activity classification in applications such as health diagnostics, health monitoring, surveillance, occupancy sensing, and automotive.

probabilitystatistics theorydata analysis, statistics and probability

Audience: researchers in the topic

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Asymptotic Methods in Statistics

Series comments: One can find video files and slides of talks at the seminar on Asymptotic Methods in Statistics here: www.youtube.com/@SeminarforAsymptoticMethods

A link to a slide is below the description of the video, namely shorturl.at/jUAhL and shorturl.at/6wjUA shorturl.at/rdpqs

Alas the links do not work in one click: you should emphasize them with a mouse and select, e.g., "Go to shorturl.at/rdpqs".

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