NDLI: Target tracking based on improved square root cubature particle filter via underwater wireless sensor networks

Content Provider	IET Digital Library
Author	Feng, Hailin Cai, Zhiwei
Abstract	Target tracking in underwater wireless sensor networks (UWSNs) has two fundamental issues that tracking accuracy and energy consumption. Although the application of particle filter in target tracking is considered in recent years, degeneracy phenomenon and particle impoverishment always restrict its capacity and application. This paper proposes an improved square root cubature particle filter (ISRCPF) to improve tracking accuracy. The authors employ self-adaptive artificial fish swarm algorithm (AFSA) to optimise the particles, which makes the particles move towards to high likelihood region and maintains the diversity of the particles. Moreover, a sensor selection scheme is provided, which reduces energy consumption of the network by exactly waking up four sensor nodes at each time, while preserving tracking accuracy. Additionally, the authors propose a novel fusion method called similarity fusion method (SFM) to fuse local estimates together and then obtain a better result for distributed fusion architecture (DFA). The simulation results demonstrate that the proposed methods have superior performance.
Starting Page	1008
Ending Page	1015
Page Count	8
ISSN	17518628
Volume Number	13
e-ISSN	17518636
Issue Number	Issue 8, May (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/13/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2018.5097
Journal	IET Communications
Publisher Date	2019-01-31
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Acoustic And Other Telecommunication System And Equipment Degeneracy Phenomenon Distributed Fusion Architecture Energy Consumption Filtering Method in Signal Processing Fusion Method Improved Square Root Cubature Particle Filter Kalman Filter Optimisation Optimisation Technique Particle Filter Particle Impoverishment Self-adaptive Artificial Fish Swarm Algorithm Sensing Device And Transducers Sensor Fusion Sensor Node Sensor Selection Scheme Similarity Fusion Method Target Tracking Tracking Accuracy Underwater Acoustic Communication Underwater Wireless Sensor Network Wireless Sensor Network
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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