Volume 11 Issue 5
Oct.  2018
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CAI Ming-bing, LIU Jing-hong, XU Fang. Multi-targets real-time location technology for UAV reconnaissance[J]. Chinese Optics, 2018, 11(5): 812-821. doi: 10.3788/CO.20181105.0812
Citation: CAI Ming-bing, LIU Jing-hong, XU Fang. Multi-targets real-time location technology for UAV reconnaissance[J]. Chinese Optics, 2018, 11(5): 812-821. doi: 10.3788/CO.20181105.0812

Multi-targets real-time location technology for UAV reconnaissance

doi: 10.3788/CO.20181105.0812

Jilin Provincial Major Scientific Research Project of China 11ZDGG001

More Information
  • Corresponding author: LIU Jing-hong, E-mail:liu1577@126.com
  • Received Date: 26 Dec 2017
  • Rev Recd Date: 15 Feb 2018
  • Publish Date: 01 Oct 2018
  • Target location is a crucial step in UAV reconnaissance system. In order to enhance the real-time performance of UAV reconnaissance target location and improve location precision, an effective multi-target real-time location method is proposed, which establishes the primary and secondary target location geometric relationship and coordinate transformation model, and combines known data to obtain each target geodetic coordinates, as well as analyzes target location error through Monte Carlo method. Finally, based on the upcoming successful establishment of the Beidou Ⅱ satellite navigation system for the aerial positioning of the UAV, and the filter processing using the Recursive Least Squares algorithm, the target location accuracy is improved. The research and experimental results show that Beidou Ⅱ navigation positioning can effectively improve the aerial positioning accuracy of the UAV, and it is expected to achieve centimeter-level accuracy. At the same time, the RLS filter processing can improve the target positioning accuracy by about 10 m. It is concluded that this method can effectively enhance the real-time positioning of UAVs, improve positioning accuracy and reconnaissance efficiency.


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