TY - GEN
T1 - RRT-based Threat-Avoidance Trajectory Planning for Aircrafts (IEEE/CSAA GNCC)
AU - Wei, Zhao
AU - Liu, Li
AU - Long, Teng
AU - Wang, Zhu
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8
Y1 - 2018/8
N2 - a RRT based trajectory planning method is proposed for the aircraft penetration problem considering the radar cross section (RCS) dynamic characteristics. The radar detection probability model is established based on the RCS data of the aircraft under different attitude, and the penetration trajectory planning problem is formulated under the dynamics constraints. The RRT algorithm considers the trajectory cost in the extension process, which leads to an optimal solution. To verify the practicability of RRT in penetration problem, numerical experiments in different scenarios are completed, and the penetration trajectories obtained by RRT and RRT are analyzed. The simulation results indicate that compared with RRT, the trajectory planning method based on RRT can ensure the security of the penetration trajectory under multi-radar threats and reduce the time of the penetration trajectory.
AB - a RRT based trajectory planning method is proposed for the aircraft penetration problem considering the radar cross section (RCS) dynamic characteristics. The radar detection probability model is established based on the RCS data of the aircraft under different attitude, and the penetration trajectory planning problem is formulated under the dynamics constraints. The RRT algorithm considers the trajectory cost in the extension process, which leads to an optimal solution. To verify the practicability of RRT in penetration problem, numerical experiments in different scenarios are completed, and the penetration trajectories obtained by RRT and RRT are analyzed. The simulation results indicate that compared with RRT, the trajectory planning method based on RRT can ensure the security of the penetration trajectory under multi-radar threats and reduce the time of the penetration trajectory.
UR - http://www.scopus.com/inward/record.url?scp=85082462048&partnerID=8YFLogxK
U2 - 10.1109/GNCC42960.2018.9018947
DO - 10.1109/GNCC42960.2018.9018947
M3 - Conference contribution
AN - SCOPUS:85082462048
T3 - 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018
BT - 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018
Y2 - 10 August 2018 through 12 August 2018
ER -