Robust Kalman filter‐based decentralised target search and prediction with topology maps-Reference-Cited by-同舟云学术

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Robust Kalman filter‐based decentralised target search and prediction with topology maps

Published:2018-04 Issue:2 Volume:8 Page:60-67
ISSN:2043-6386
Container-title:IET Wireless Sensor Systems
language:en
Short-container-title:IET wirel. sens. syst.

Author:

Guanathillake Ashanie¹²,Savkin Andrey V.¹,Jayasumana Anura P.³

Affiliation:

1. School of Electrical Engineering and Telecommunication, University of New South WalesSydneyNSW2052Australia

2. Data61|CSIRO, EveleighNSW2015Australia

3. Department of Electrical and Computer EngineeringColorado State UniversityFort CollinsCO80523USA

Publisher

Institution of Engineering and Technology (IET)

Subject

Industrial and Manufacturing Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-wss.2017.0039

Reference43 articles.

1. GrundelD.A.: ‘Searching for a moving target: optimal path planning’.Proc. IEEE Networking Sensing and Control 2005 pp.867–872

2. Target Localization and Autonomous Navigation Using Wireless Sensor Networks—A Pseudogradient Algorithm Approach

3. Sensor Network based Adaptable System Architecture for Emergency Situations

4. A survey on in-network querying and tracking services for wireless sensor networks

5. Rollout Algorithms for Wireless Sensor Network-Assisted Target Search

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2. Cooperative Aerial Search and Localization Using Lissajous Patterns;2020 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR);2020-11-04

3. Multi-node topology location model of smart city based on Internet of Things;Computer Communications;2020-02

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