TY - JOUR
T1 - Multi-aircraft cooperative detection strategy based on formation
AU - Xu, Shan
AU - Zhang, Ke
AU - Wang, Pei
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2021/3/17
Y1 - 2021/3/17
N2 - A filter algorithm combining Interactive Multiple Model (IMM) algorithm with adaptive transition probability and Unscented Kalman Filter (UKF) is proposed for the issue of state estimation of highly maneuvering targets with unknown motions. The centralized fusion structure is adopted to process measurements of multi-aircraft to improve the accuracy of target state estimation. The cooperative detection strategy based on formation is studied from two aspects of the aircrafts number and configuration radius, and conclusions are drawn through simulation: In general, the more the number of aircrafts, the better the detection effect; when the configuration radius is 250km and 100km, the better cooperative detection effect can be obtained; considering the cost issue, 4 aircrafts can be selected for cooperative detection in a rectangular formation with a half diagonal of 100km.
AB - A filter algorithm combining Interactive Multiple Model (IMM) algorithm with adaptive transition probability and Unscented Kalman Filter (UKF) is proposed for the issue of state estimation of highly maneuvering targets with unknown motions. The centralized fusion structure is adopted to process measurements of multi-aircraft to improve the accuracy of target state estimation. The cooperative detection strategy based on formation is studied from two aspects of the aircrafts number and configuration radius, and conclusions are drawn through simulation: In general, the more the number of aircrafts, the better the detection effect; when the configuration radius is 250km and 100km, the better cooperative detection effect can be obtained; considering the cost issue, 4 aircrafts can be selected for cooperative detection in a rectangular formation with a half diagonal of 100km.
UR - http://www.scopus.com/inward/record.url?scp=85103265160&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1846/1/012072
DO - 10.1088/1742-6596/1846/1/012072
M3 - 会议文章
AN - SCOPUS:85103265160
SN - 1742-6588
VL - 1846
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012072
T2 - 2021 7th International Symposium on Sensors, Mechatronics and Automation System, ISSMAS 2021
Y2 - 29 January 2021 through 31 January 2021
ER -