A Method for Extracting Acoustic Water Surface Waves Based on Phase Compensation
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Published:2024-08-09
Issue:16
Volume:16
Page:2911
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ISSN:2072-4292
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Container-title:Remote Sensing
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language:en
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Short-container-title:Remote Sensing
Author:
Li Miaomiao12ORCID, Liang Xingdong12, Zhang Yuan12ORCID, Xin Jihao12, Jiang Nanyi12, Guo Qichang12, Wang Mingming12, Wei Jiashuo1, Bu Xiangxi12
Affiliation:
1. National Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China 2. School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
Abstract
With the increasing demand for marine biosensing and water–air collaborative rescue in national production and life, establishing a robust cross-medium communication link has become one of the hotspots. Among them, microwave acoustic cross-medium uplink communication technology has been widely studied for its advantages of being able to be used all day and in all weather, there being no need for relay, and having high concealment. The principle is to extract the frequency of the acoustic water surface waves from the phase history of the radar echoes. However, wave interference can cause discontinuity of the phase history, resulting in difficulty in extracting the acoustic water surface waves and an increase in bit error rate (BER). This article analyses the reasons for the discontinuity of phase history and innovatively proposes a method for extracting acoustic water surface waves based on phase compensation. The discontinuity points of the phase history are compensated based on whether the range bin changes. Then, low-frequency water surface fluctuations and discontinuity points are filtered out through second-order differential joint outlier removal, which can effectively reduce the influence of phase history discontinuity on time–frequency analysis and communication decoding. The effectiveness of the proposed method was verified through simulations and experiments. The experimental results indicate that the BER of the proposed method is 25% of that of the Wavelet–Kalman Filtering method. The proposed method provides a new approach for microwave acoustic cross-medium uplink communication.
Reference20 articles.
1. Menon, K.A.U., Shibina, J.S., and Menon, V.N. (2014, January 11–13). Intelligent system for remote health monitoring of divers using underwater acoustic communication. Proceedings of the Fifth International Conference on Computing, Communications and Networking Technologies (ICCCNT), Hefei, China. 2. Prabha, K.R., Nataraj, B., Pandithurai, S., Raj, A.R.C., and Prassath, A. (2023, January 9–10). Deep-Sea Survival Assistance and Health Monitoring System. Proceedings of the 2023 Third International Conference on Smart Technologies, Communication and Robotics (STCR), Sathyamangalam, India. 3. Manik, H.M. (2011, January 17–19). Underwater acoustic signal processing for detection and quantification of fish. Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, Bandung, Indonesia. 4. Thomas, G.L., Hahn, T., and Thorne, R.E. (2006, January 18–21). Combining passive and active underwater acoustics with video and laser optics to assess fish stocks. Proceedings of the OCEANS 2006, Boston, MA, USA. 5. Parton, S., Dalgleish, F., Beaujean, P.P., Ouyang, B., and Caimi, F. (2013, January 10–14). Acquisition and registration of bathymetric acoustic data and MOFSLI (multiple overlapping field of view serial laser imager). Proceedings of the 2013 MTS/IEEE OCEANS, Bergen, Norway.
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