In modern society, UAVs have a wide range of applications in various industries, and the pure azimuth passive localization technique is well suited to be promoted in the UAV field. In this paper, algorithms such as greedy algorithm, recursive algorithm and partitioning method are combined with mathematics to obtain the adjustment scheme for UAVs by analyzing the pure orientation passive positioning. Using the partitioning and subtraction methods, the localization model of the passively received signal UAV is built into three parts. A framework is established to synthesize the positioning model obtained from the sub-scale to build the positioning model of the passively received signal UAV. Mathematical analysis is used to solve that if only the two send signals, the receiving UAV can only receive directional information from one angle. If another UAV sends the signal, the passive receiving UAV can receive 2 position signals. Since all the UAVs in the initial moment have position deviation and the error is unavoidable, the solution with the least error is searched for. First, the brute force method is applied to find out the error for all cases. After that, after selecting a group of transmitting signal UAVs, the greedy algorithm is applied to select only the UAV with the smallest deviation to transmit the angle signal to the UAV with the smallest deviation for correction each time, and then the corrected UAVs are put into the reference UAV queue. Repeat the above operation with recursive method until all UAVs are corrected, and finally obtain the UAV adjustment scheme with the smallest error.
UAV positioning based on pure azimuth passive
24.02.2023
1827576 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch