Chirp modulation enabled turbidity measurement for large scale monitoring of fresh water

Wei, Junxuan, Qin, Fei, Li, Gang, Li, Xujie, Liu, Xiaobo and Dai, Xuewu (2021) Chirp modulation enabled turbidity measurement for large scale monitoring of fresh water. Measurement, 184. p. 109989. ISSN 0263-2241

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Monitoring water turbidity accurately at a large scale provides vital information to alert abnormal water pollution event. However, scientists and engineers have to make the tradeoff among accuracy, range, and cost of turbidity measurement solutions. Consequently, the state of the art solutions utilize high-end hardware configurations to maintain high accuracy at wide dynamic range, which are either too expensive or complex to be adopted in large-scale monitoring. A low cost turbidity sensor without compromising on accuracy and dynamic range raises a big challenge. This paper approaches this challenge with Chirp modulation and signal convolution in the statistical domain, which can provide more than 40 dB gain with traditional low-cost photodiode. The proposed solution can significantly increase the system performance scaled with hardware configurations. As a result, the implemented proof of concept system can provide as high as 2% measurement accuracy over a wide range of 0–1000 NTU with low-cost hardware configurations.

Item Type: Article
Additional Information: Funding information: This work is supported by the Fundamental Research Funds for the Central Universities, China, in part by Open Research Fund Key Laboratory of Wireless Sensor Network and Communication, Chinese Academy of Sciences under Grant 20190914, in part by the Provincial Key Research and Development Program of Jiangsu, China under Grant BE2019017, and in part by the Provincial Water Science and Technology Program of Jiangsu, China under Grant 2020028.
Uncontrolled Keywords: Chirp modulation, Large scale monitoring, Low-cost, Optical turbidity measurement, Wide range
Subjects: F300 Physics
H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Rachel Branson
Date Deposited: 03 Feb 2022 11:00
Last Modified: 12 Aug 2022 03:31

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