TY - JOUR
T1 - Coordinated standoff target tracking using two UAVs with only bearing measurement
AU - Zhu, Qian
AU - Zhou, Rui
AU - Dong, Zhuoning
AU - Li, Hao
N1 - Publisher Copyright:
© 2015, Beijing University of Aeronautics and Astronautics (BUAA). All right reserved.
PY - 2015/11/1
Y1 - 2015/11/1
N2 - A novel method for a random moving target coordinated standoff tracking was proposed to maximize the target position estimation precision by two unmanned aerial vehicles (UAVs) equipped with only bearing sensor. The analytical relationship model between the UAV observation geometry configuration and the root mean square error (RMSE) of target position estimation, which is chosen as performance index, was established, and thus the optimal UAV observation geometry configuration was obtained. Extended information filter was used to implement target states fusion and estimation. The optimal cooperative observation geometry configuration was implemented using online distributed nonlinear model predictive control (NMPC), considering the constraints of UAV platform dynamic performances, collision avoiding, and security distance. The simulation results demonstrated the pair of UAV effectively maintained the optimal observation geometry configuration and coordinated standoff target tracking performance in real-time.
AB - A novel method for a random moving target coordinated standoff tracking was proposed to maximize the target position estimation precision by two unmanned aerial vehicles (UAVs) equipped with only bearing sensor. The analytical relationship model between the UAV observation geometry configuration and the root mean square error (RMSE) of target position estimation, which is chosen as performance index, was established, and thus the optimal UAV observation geometry configuration was obtained. Extended information filter was used to implement target states fusion and estimation. The optimal cooperative observation geometry configuration was implemented using online distributed nonlinear model predictive control (NMPC), considering the constraints of UAV platform dynamic performances, collision avoiding, and security distance. The simulation results demonstrated the pair of UAV effectively maintained the optimal observation geometry configuration and coordinated standoff target tracking performance in real-time.
KW - Coordinated control
KW - Nonlinear model predictive control
KW - Root mean square error
KW - Standoff tracking
KW - Unmanned aerial vehicle (UAV)
UR - https://www.scopus.com/pages/publications/84949552106
U2 - 10.13700/j.bh.1001-5965.2014.0716
DO - 10.13700/j.bh.1001-5965.2014.0716
M3 - 文章
AN - SCOPUS:84949552106
SN - 1001-5965
VL - 41
SP - 2116
EP - 2123
JO - Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
JF - Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
IS - 11
ER -