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A passive detection and tracking divers method based on energy detection and EKF algorithm

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Abstract

Divers have always played a strategic role throughout history. They are competent to perform numerous tasks which are inaccessible to others. However, they can also prove to be a formidable foe, especially in shallow port, waterway locations. This is evident from numerous criminal incidents in past wherein divers played a significant role. In order to protect these maritime locations from possible damages by unfriendly divers and effectively improve security of Territorial Ocean, this paper presents a passive detection and tracking of diver procedure based on Energy Detection and extended Kalman Filter (EKF) algorithm is proposed, simple named PDTDM. PDTDM method can effectively distinguish divers from marine animals in complexity underwater environment. PDTDM method can perform nonlinear tracking with high accuracy with low energy consumption. Difference time-delay and Doppler shift obtained from “chirp” analysis are used as parameters for EKF to generate the track which is then applied into, energy detection and 3D location framework is used to obtain reliable coordinates of divers. It is also used to differentiate divers from other possible marine artifacts. Simulation shows that PDTDM method can reduce energy consumption using the reliable detection scheme while improve the accuracy of tracking divers.

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Acknowledgements

This work was supported in part by the following projects: the National Natural Science Foundation of China through the Grants 61571318, the Guangxi Nature Science Fund (2015GXNSF AA139298, 2016GXNSFAA380226), Guangxi Science and Technology Project (AC16380094, 1598008-29), Guangxi Nature Science Fund Key Project (2016 GXNSFDA380031), and Guangxi University Science Research Project (ZD 2014146).

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Authors and Affiliations

  1. College of Electronic Information and Automation, Guilin University of Aerospace Technology, Guangxi, Guilin, 541004, China

    Yun Li, Shanlin Sun, Zhicheng Tan & Lili Sheng

  2. School of Electronic and Information Engineering, Tianjin University, Tianjin, 300072, China

    Yun Li

  3. Department of Electrical Engineering, Kennesaw State University, Marietta, GA, 30062, USA

    Sumit Chakravarty & Ming Yang

  4. School of information and communication, Guilin University of Electronic Technology, Guangxi, Guilin, 541004, China

    Xintong Wu

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  1. Yun Li
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  2. Sumit Chakravarty
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  3. Shanlin Sun
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  4. Zhicheng Tan
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  5. Lili Sheng
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  6. Ming Yang
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  7. Xintong Wu
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Correspondence to Sumit Chakravarty.

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Li, Y., Chakravarty, S., Sun, S. et al. A passive detection and tracking divers method based on energy detection and EKF algorithm. Cluster Comput 22 (Suppl 3), 5603–5612 (2019). https://doi.org/10.1007/s10586-017-1397-z

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  • DOI: https://doi.org/10.1007/s10586-017-1397-z

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