Optimal Formation of UAV Swarm for TDOA-Based Passive Target Tracking
العنوان: | Optimal Formation of UAV Swarm for TDOA-Based Passive Target Tracking |
---|---|
المؤلفون: | Won-Sang Ra, Seul-Ki Han, Ui-Suk Suh |
المصدر: | Journal of Electrical Engineering & Technology. 17:551-564 |
بيانات النشر: | Springer Science and Business Media LLC, 2021. |
سنة النشر: | 2021 |
مصطلحات موضوعية: | Nonlinear system, Range (mathematics), Control theory, Computer science, Filter (video), Robust kalman filter, Swarm behaviour, ComputerApplications_COMPUTERSINOTHERSYSTEMS, Electrical and Electronic Engineering, Multilateration, Tracking (particle physics), Measure (mathematics) |
الوصف: | An analytic solution to the optimal formation problem of an unmanned aerial vehicle (UAV) swarm is newly proposed for maximizing the perfomrance of passive target tracking. Most previous techniques could not handle this problem efficiently because they have had difficulties in defining the performance index of a nonlinear target tracking filter in closed form. To overcome this limitation, the passive target tracking problem is investigated within the framework of the linear non-conservative robust Kalman filter (NCRKF) theory. Accommodating the merit of the suggested linear target tracking filter structure, its performance measure can be analytically expressed in terms of the UAV formation as well as the sensor accuracy. Therefore, it is easy to determine the optimal UAV formation by maximizing the target tracking performance in the worst case. In addition, our approach is very practical because it considers the estimation error characteristics of the actual passive target tracking filter and the communication range among UAVs in determining the optimal UAV formation. Through the simulations, the effectiveness of the proposed scheme is validated. |
تدمد: | 2093-7423 1975-0102 |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::45adec300f48492850bf4044f9ac2ab1 https://doi.org/10.1007/s42835-021-00872-9 |
حقوق: | CLOSED |
رقم الأكسشن: | edsair.doi...........45adec300f48492850bf4044f9ac2ab1 |
قاعدة البيانات: | OpenAIRE |
تدمد: | 20937423 19750102 |
---|