This paper addresses the problem of pure orientation passive positioning of UAV, by discussing and geometrically analyzing the numbering information and orientation information of UAVs affecting the positioning system, establishing a hidden circle model, a three-point positioning model, a multi-objective iterative optimization model, and finally realizing pure orientation passive positioning of UAVs and a reasonable adjustment scheme. The orientation of the central UAV is known, two more UAVs are needed to transmit signals to make the system complete positioning, establish the polar coordinate system and make the orientation expressions of the transmitting UAV and the receiving UAV, and finally find out the expressions of all the orientation information by means of calculation and error analysis to achieve UAV positioning with the three-point positioning method; the orientation and number of two transmitting UAVs are known, at least one more to complete the positioning, establish the neighboring point positioning method, designate another UAV transmitting signals whose orientation is adjacent to the UAV passively receiving signals, and make the expression of orientation information provided by three UAVs transmitting signals, and then analyze the size relationship between the orientation information to achieve positioning.
UAV passive positioning model based on multi-objective iterative optimization
2023-02-24
1925342 byte
Conference paper
Electronic Resource
English
Multi-objective iterative learning control using convex optimization
British Library Online Contents | 2017
|Crane positioning anti-swing control optimization method based on model iterative compensation
European Patent Office | 2023
|