Experimental Analysis of Accuracy and Precision in Displacement Measurement Using Millimeter-Wave FMCW Radar
Source abstract
Abstract
Millimeter-wave radar is emerging as a key sensor technology not only for autonomous driving but also for various industrial applications, such as vital sign monitoring and structural displacement sensing using millimeter-wave FMCW radar, which must detect extremely small displacements on the sub-micron scale. Accurate displacement measurements fundamentally rely on obtaining precise intermediate frequency (IF) phase data over slow time (i.e., chirp-to-chirp intervals or pulse repetition time) generated by the radar sensor system. In this study, we developed a millimeter-wave FMCW radar sensor for displacement sensing using a 77–81 GHz radar transceiver MMIC (Monolithic Microwave Integrated Circuit) and evaluated its accuracy and precision through a series of experiments. First, we assessed the MMIC’s phase performance under static conditions using a rigid RF waveguide, and second, we measured a vibrating target using an industrial vibration shaker as a reference. The experiments demonstrated a maximum accuracy error of +0.359 degrees (1.907 μm displacement) and a maximum 3-sigma precision of ±0.358 degrees (±1.180 μm displacement), validating the feasibility of using millimeter-wave radar to measure very small displacements.
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Research context
OpenAlex topics: Advanced Optical Sensing Technologies · Sensor Technology and Measurement Systems · Semiconductor Lasers and Optical Devices
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Analog Devices KK, 1-9-1 Higashi-Shimbashi, Minato-ku, Tokyo 105-7323, Japan
Sakura Tech Corporation, 3-2-6, Shin-Yokohama, Kohoku-ku, Yokohama 222-0033, Kanagawa, Japan
References (19)
Show source-provided references
1. Pramudita, A.A., Suratman, F.Y., and Arseno, D. (2021, January 20–22). Radar Application for Small Displacement Detection. Proceedings of the 2021 IEEE Asia-Pacific Conference on Applied Electromagnetics (APACE), Penang, Malaysia.10.1109/APACE53143.2021.9760602 ↗
2. Sopcik, P., and O’Sullivan, D. (2019). How Sensor Performance Enables Condition-Based Monitoring Solutions. Analog Dialogue, Analog Devices.
3. Khademi, A., Raji, F., and Sadeghi, M. (2019, January 17–18). IoT Enabled Vibration Monitoring Toward Smart Maintenance. Proceedings of the 2019 3rd International Conference on Internet of Things and Applications (IoT), Isfahan, Iran.10.1109/IICITA.2019.8808837 ↗
4. Raj, V.P., Natarajan, K., and Girikumar, S.T.G. (2013, January 10–11). Induction motor fault detection and diagnosis by vibration analysis using MEMS accelerometer. Proceedings of the 2013 International Conference on Emerging Trends in Communication, Control, Signal Processing and Computing Applications (C2SPCA), Bangalore, India.10.1109/C2SPCA.2013.6749391 ↗
5. Josebeck, G., and Gowtham, A. (2022, January 24–27). Demystifying the P-F Curve & Augmenting Machine Learning for Maintenance Optimization. Proceedings of the 2022 Annual Reliability and Maintainability Symposium (RAMS), Tucson, AZ, USA.10.1109/RAMS51457.2022.9893991 ↗
6. On the importance of combining “the new” with “the old”—One important prerequisite for maintenance in Industry 4.010.1016/j.promfg.2018.06.065 ↗
7. Liu, X., Wu, X., and Liu, C. (2011, January 16–18). A comparison of acoustic emission and vibration on bearing fault detection. Proceedings of the Proceedings 2011 International Conference on Transportation, Mechanical, and Electrical Engineering (TMEE), Changchun, China.
8. Yoo, S., Bae, Y., and Jang, S. (2023). Design of Wideband FMCW Radar Transceiver System Using Photonic Elements. Micromachines, 14.10.3390/mi14071296 ↗
9. Giuseppe, B., Armenise, M.N., and Ciminelli, C. (2022). Chip-Scaled Ka-Band Photonic Linearly Chirped Microwave Waveform Generator. Front. Phys., 10.10.3389/fphy.2022.785650 ↗
10. Bhutani, A., Pauli, M., Latzko, T., Göttel, B., Gehringer, M., and Zwick, T. (2019, January 10–13). Micrometer-Accuracy Distance Measurement using 122 GHz LTCC Radar System-in-Package. Proceedings of the 2019 IEEE Asia-Pacific Microwave Conference (APMC), Singapore.10.1109/APMC46564.2019.9038836 ↗
11. Solving Phase Ambiguity in Interferometric Displacement Measurement with Millimeter-Wave FMCW Radar Sensors10.1109/JSEN.2022.3158657 ↗
12. Liu, H., and Xu, D. (2023, January 8–10). High Accuracy Distance Measurement With FMCW Radar and Phase Algorithm. Proceedings of the 2023 3rd International Conference on Electronic Information Engineering and Computer Communication (EIECC), Wuhan, China.10.1109/EIECC60864.2023.10456631 ↗
13. Ciattaglia, G., Santis, A.D., Disha, D., Spinsante, S., Castellini, P., and Gambi, E. (2020, January 22–24). Performance Evaluation of Vibrational Measurements Through mmWave Radars. Proceedings of the 2020 IEEE 7th International Workshop on Metrology for AeroSpace (MetroAeroSpace), Pisa, Italy.10.1109/MetroAeroSpace48742.2020.9160237 ↗
14. Enabling High Accuracy Distance Measurements with FMCW Radar Sensors10.1109/TMTT.2019.2930504 ↗
15. Distance Measurement Using mmWave Radar: Micron Accuracy at Medium Range10.1109/TMTT.2022.3195235 ↗
16. Accurate and Robust Displacement Measurement for FMCW Radar Vibration Monitoring10.1109/JSEN.2017.2778294 ↗
17. A 184.6-dBc/Hz FoM 100-kHz Flicker Phase Noise Corner 30-GHz Rotary Traveling-Wave Oscillator Using Distributed Stubs in 22-nm FD-SOI10.1109/LSSC.2019.2929326 ↗
18. Samarasekera, A.C.J., Feger, R., Bechter, J., and Stelzer, A. (2020, January 23). Phase Noise Measurements in Chirped FMCW Radar Signals. Proceedings of the 2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM), Linz, Austria.10.1109/ICMIM48759.2020.9299035 ↗
19. (2017). General Requirements for the Competence of Testing and Calibration Laboratories, Edition:1 (Standard No. ISO/IEC 17025).