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Mathematical Problems in Engineering
Volume 2017, Article ID 1943539, 8 pages
https://doi.org/10.1155/2017/1943539
Research Article

Multi-UAVs Cooperative Localization Algorithms with Communication Constraints

1School of Electronics and Information, Northwestern Polytechnical University, Xi’an, Shaanxi 710129, China
2Shenyang Aircraft Design and Research Institute, Shenyang, Liaoning 110035, China

Correspondence should be addressed to Xiaowei Fu; nc.ude.upwn@wxf

Received 4 June 2017; Revised 31 July 2017; Accepted 3 August 2017; Published 7 September 2017

Academic Editor: Filippo Cacace

Copyright © 2017 Xiaowei Fu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Xiaowei Fu, Hui Wang, Bin Li, and Xiaoguang Gao, “An Efficient Sampling-Based Algorithms Using Active Learning and Manifold Learning for Multiple Unmanned Aerial Vehicle Task Allocation under Uncertainty,” Sensors, vol. 18, no. 8, pp. 2645, 2018. View at Publisher · View at Google Scholar
  • Xiaowei Fu, Kunpeng Liu, and Xiaoguang Gao, “Multi-UAVs Communication-Aware Cooperative Target Tracking,” Applied Sciences, vol. 8, no. 6, pp. 870, 2018. View at Publisher · View at Google Scholar
  • Zhong Liu, Xiaowei Fu, and Xiaoguang Gao, “Co-Optimization of Communication and Sensing for Multiple Unmanned Aerial Vehicles in Cooperative Target Tracking,” Applied Sciences, vol. 8, no. 6, pp. 899, 2018. View at Publisher · View at Google Scholar
  • Zhong Liu, Xiaoguang Gao, and Xiaowei Fu, “A Cooperative Search and Coverage Algorithm with Controllable Revisit and Connectivity Maintenance for Multiple Unmanned Aerial Vehicles,” Sensors, vol. 18, no. 5, pp. 1472, 2018. View at Publisher · View at Google Scholar