Measuring Micrometer-Level Vibrations With mmWave Radar
| Autor: | Junchen Guo, Shuai Li, Rui Xi, Jia Zhang, Yuan He, Chengkun Jiang, Yunhao Liu, Meng Jin |
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| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | IEEE Transactions on Mobile Computing. 22:2248-2261 |
| ISSN: | 2161-9875 1536-1233 |
| DOI: | 10.1109/tmc.2021.3118349 |
| Popis: | Vibration measurement is a crucial task in industrial systems, where vibration characteristics reflect health conditions and indicate anomalies of the devices. Previous approaches either work in an intrusive manner or fail to capture the micrometer-level vibrations. In this work, we propose mmVib, a practical approach to measure micrometer-level vibrations with mmWave radar. First, we derive a metric called Vibration Signal-to-Noise Ratio (VSNR) that highlights the directions of reducing measurement errors of tiny vibrations. Then, we introduce the design of mmVib based on the concept of Multi-Signal Consolidation (MSC) for the error reduction and multi-object measurement. We implement a prototype of mmVib, and the experiments show that it achieves 3.946% relative amplitude error and 0.02487% relative frequency error in median. Typically, the average amplitude error is only 3.174um when measuring the 100um-amplitude vibration at around 5 meters. Compared to two existing mmWave-based approaches, mmVib reduces the 80th-percentile amplitude error by 69.21% and 97.99% respectively. |
| Databáze: | OpenAIRE |
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