Vehicle Precise Positioning Based on Integrated Navigation System in Vehicle Networking

Abstract

With the rapid development of networking of vehicles, vehicle positioning problem gets more and more attention. GPS (Global Positioning System) and SINS (strapdown inertial navigation system) are the two technologies in the field of vehicle location. Although the GPS has a relatively high positioning accuracy, it can not get the positioning where satellites are blocked, which requires auxiliary of the other positioning means, to achieve AGPS (Assited Global Positioning System) positioning. SINS can get the vehicle driving parameters by IMU (Inertial Measurement Unit) in the case of no GPS signal and then make use of kinematics law to realize self-positioning. But due to error having a time cumulative, and the external device in the installation process, there is mounting error, and thus can not achieve a higher accuracy location. In order to solve this problem, this paper proposes a Dead reckoning system based on inertial devices to realize the autonomous positioning of the vehicle. The acceleration sensor is used to measure the acceleration of the carrier, and the gyro sensor is used to measure the yaw angle of the vehicle. DR algorithm is used to calculate the approximate position of the vehicle, and the error factor of GPS acquisition is used to correct the vehicle trajectory. In this paper, through the simulation analysis, it is verified that the real-time correction eliminates the error, effectively improves the positioning accuracy, and meets the positioning and navigation requirements of the blind area of GPS signal.