NDLI: Fuzzy c-means-based intelligent tracking algorithm for an underwater manoeuvring target

Content Provider	IET Digital Library
Author	Son, Hyun Seung Park, Jin Bae Joo, Young Hoon
Abstract	The effort to detect a target conflicts with the covertness in anti-submarine warfare. The underwater detection rate is extremely low and sound waves are the only detection method unlike the airborne operational environment. The data of an underwater target based on noise levels are more difficult to interpret when the acceleration inputs are included. Hence, the authors propose a complementary algorithm for the tracking problem in an active sonar system. The bearing-range data of the target yield the measurement residuals, and the residuals are used as inputs to the clustering method. The clustering method estimates the acceleration and the noise level. The estimates aid in positional compensation and enhance the tracking performance. The fuzzy c-means clustering is utilised for the clustering and maintains the filter sustainable. Finally, some examples are provided to show the effectiveness of the proposed method.
Starting Page	1042
Ending Page	1050
Page Count	9
ISSN	17518784
Volume Number	8
e-ISSN	17518792
Issue Number	Issue 9, Dec (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/8/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2013.0353
Journal	IET Radar, Sonar & Navigation
Publisher Date	2014-05-21
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Acceleration Estimation Acceleration Input Active Sonar System Antisubmarine Warfare Bearing-range Data Clustering Method Combinatorial Mathematics Fuzzy C-means-based Intelligent Tracking Algorithm Fuzzy Set Theory Measurement Residuals Military Vehicle Noise Level Estimation Pattern Clustering Signal Detection Sonar And Acoustic Radar Sonar Detection Sonar Tracking Target Conflict Detection Target Tracking Underwater Detection Rate Underwater Manoeuvring Target Underwater Vehicle
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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