| Autor: |
Andrii Malenko, Galyna Kriukova, Sergii Vodopyan, Oleksandr Sudakov, Yevhenii Volynets |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
2020 IEEE Ukrainian Microwave Week (UkrMW). |
| DOI: |
10.1109/ukrmw49653.2020.9252794 |
| Popis: |
This paper focuses on Doppler radar-based sensing systems for motion monitoring. 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 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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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