@inproceedings{de02396a81b84a3384bf9e486f8a9c0e,
title = "Aircraft route planning for stealth penetration based on sparse A∗ search",
abstract = "To reduce the radar detection probability of the aircraft during penetration, the sparse A∗ search considering the radar cross section (RCS) distribution characteristic is proposed for route planning. Firstly, the aircraft RCS model and the radar detection probability model are established by considering the attitude and space position of the aircraft. Two kinds of turning modes are studied (the maximum overload mode and the minimum roll angle mode) considering the kinematics constraints of the aircraft. The minimization of radar detection probability and route length are taken as two cost functions. Then the sparse A∗ search algorithm is applied to get the satisfied route. Finally, the results of Monte Carlo simulation show that the route planned by the proposed method can navigate the aircraft to reach the target with low detection probability, and the comparison results show that the penetration performance of the minimum roll angle turning mode is better than that of the maximum overload turning mode.",
keywords = "Radar Cross Section, Route Planning, Sparse A∗ Search, Stealth Penetration",
author = "Yan Cao and Teng Long and Zhu Wang and Xiaodong Chen and Jiabo Wang and Li Liu",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 29th Chinese Control and Decision Conference, CCDC 2017 ; Conference date: 28-05-2017 Through 30-05-2017",
year = "2017",
month = jul,
day = "12",
doi = "10.1109/CCDC.2017.7979453",
language = "English",
series = "Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5380--5385",
booktitle = "Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017",
address = "United States",
}