Paper
28 July 2023 Molten steel detection method based on LFMCW radar ranging
Qixiang Zhang, Zhichun Wang
Author Affiliations +
Proceedings Volume 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023); 127562X (2023) https://doi.org/10.1117/12.2685931
Event: 2023 3rd International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2023), 2023, Tangshan, China
Abstract
In industrial production, metal level detection is very important. LFMCW millimeter wave radar is suitable for such harsh environments that require high-precision short distance measurement. This paper discusses the reasons that affect the accuracy of millimeter wave ranging, and gives the specific radar parameters and ranging module configuration based on the actual situation of metal level detection, and analyzes them; Based on FFT frequency estimation algorithm, rough target peak is provided, and then frequency spectrum is refined near the peak point through two CZTs to solve phase ambiguity. On this basis, phase correction method is used to further improve the accuracy of the algorithm. Finally, the AWR1843 millimeter wave radar and DCA1000 are used to conduct the cold state experiment on the surface position of the metal liquid level, obtain the IF signal and process the IF signal data. The results show that when the measuring system detects the position of the liquid metal surface 1 m away from the AWR1843 signal transmitting end, the experimental measurement error does not exceed 0.1 mm.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qixiang Zhang and Zhichun Wang "Molten steel detection method based on LFMCW radar ranging", Proc. SPIE 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023), 127562X (28 July 2023); https://doi.org/10.1117/12.2685931
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KEYWORDS
Radar

Metals

Ranging

Distance measurement

Modulation frequency

Radar sensor technology

Radar signal processing

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