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Published in: Cluster Computing 3/2019

27-11-2017

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

Authors: Yun Li, Sumit Chakravarty, Shanlin Sun, Zhicheng Tan, Lili Sheng, Ming Yang, Xintong Wu

Published in: Cluster Computing | Special Issue 3/2019

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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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Metadata
Title
A passive detection and tracking divers method based on energy detection and EKF algorithm
Authors
Yun Li
Sumit Chakravarty
Shanlin Sun
Zhicheng Tan
Lili Sheng
Ming Yang
Xintong Wu
Publication date
27-11-2017
Publisher
Springer US
Published in
Cluster Computing / Issue Special Issue 3/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-017-1397-z

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