TY - JOUR
T1 - Cooperative geometric localization for a ground target based on the relative distances by multiple UAVs
AU - Qu, Yaohong
AU - Zhang, Feng
AU - Wu, Xiwei
AU - Xiao, Bing
N1 - Publisher Copyright:
© 2018, Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - Based on the locations of several unmanned aerial vehicles (UAVs) and their relative distances from a target, a ground target cooperative geometric localization method that is more effective than a traditional approach is proposed in this paper. First, an algorithm for determining the location of the target is described. The effectiveness and suitability of the proposed algorithm are then shown. Next, to investigate the location accuracy of the proposed method, the influence of three critical factors, namely, the flight altitude, UAV position errors, and measurement errors, is analyzed. Furthermore, for the required location accuracy, the feasible regions of these factors are determined based on their influence, and the location accuracy will satisfy the requirements if all factors are within the feasible regions. Finally, simulation results from the MATLAB/Simulink toolbox are presented to show the effectiveness of the proposed method and the availability of the feasible regions.
AB - Based on the locations of several unmanned aerial vehicles (UAVs) and their relative distances from a target, a ground target cooperative geometric localization method that is more effective than a traditional approach is proposed in this paper. First, an algorithm for determining the location of the target is described. The effectiveness and suitability of the proposed algorithm are then shown. Next, to investigate the location accuracy of the proposed method, the influence of three critical factors, namely, the flight altitude, UAV position errors, and measurement errors, is analyzed. Furthermore, for the required location accuracy, the feasible regions of these factors are determined based on their influence, and the location accuracy will satisfy the requirements if all factors are within the feasible regions. Finally, simulation results from the MATLAB/Simulink toolbox are presented to show the effectiveness of the proposed method and the availability of the feasible regions.
KW - UAV
KW - cooperative localization
KW - feasible regions
KW - location effectiveness analysis
KW - relative distance
KW - unmanned aerial vehicle
UR - http://www.scopus.com/inward/record.url?scp=85059010964&partnerID=8YFLogxK
U2 - 10.1007/s11432-018-9579-3
DO - 10.1007/s11432-018-9579-3
M3 - 文章
AN - SCOPUS:85059010964
SN - 1674-733X
VL - 62
JO - Science China Information Sciences
JF - Science China Information Sciences
IS - 1
M1 - 10204
ER -