Differential positioning system and unmanned aerial vehicle

Abstract

The invention discloses a differential positioning system and an unmanned aerial vehicle. According to the system, a differential module acquires reference coordinates and positioning data, and calculates differential corrected data according to the reference coordinates and the positioning data; a first controller controls a first data transmission radio module to broadcast the differential corrected data, and controls a first wireless network module to send the differential corrected data to a server; a flight controller receives, by a second data transmission radio module, the differential corrected data broadcast by a mobile reference station, or sends, by a second wireless network module, a receiving request to the server and receives the differential corrected data broadcast by the mobile reference station from the server according to the receiving request; and the flight controller calculates position coordinates of the unmanned aerial vehicle according to the differential corrected data and positioning information output by a positioning module. Therefore, the differential corrected data is transmitted by arranging the wireless network modules and the data transmission radio modules in the mobile reference station, real-time transmission of the differential corrected data can be ensured, and positioning accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of communication, in particular to a differential positioning system and an unmanned aerial vehicle. Background technique [0002] At present, most of the communication between the UAV and the mobile reference station adopts the network communication method. That is, the mobile reference station transmits the calculated differential correction data to the server through the network, and then the server transmits the differential correction data to the drone through the network so that the drone can enter real-time differential positioning (Real Time Kinematic, RTK for short). [0003] However, the above methods have relatively high requirements for network signals, and most remote mountainous areas have relatively poor network signals, which may cause normal communication between the UAV and the mobile reference station, so that the differential correction data cannot be transmitted, or the differential corr...

AI Technical Summary

Problems solved by technology

[0003] However, the above methods have relatively high requirements for network signals, and most remote mountainous areas have relatively poor network signals, which may cause normal communication between the UAV and the mobile reference station, so that the differential correction data cannot be transmitted, or the differential correction data transmission is severely timed out , leading to inaccurate positioning

Images