Research And Application Of High-precision Positioning Technology Based On Wireless Sensor Networks

Intelligent Transportation has become the development trend of future traffic, which uses a variety of electronic communication technologies, combined with the image, automation and other technology. Intelligent transportation application will allow people to travel more convenient, it will have a profound impact on various aspects of modern-pass. Positioning is one of the important functions of the Intelligent Transportation Currently, there are a variety of positioning technologies, such as satellite global positioning systems, positioning systems based on mobile phone base station, the purpose of this paper is for intelligent transportation systems, vehicle location method.The formation of wireless sensor networks using ZigBee technology, TDOA technology ranging Mapping extended Kalman filter using the improved position of the vehicle to make a final positioning. Introduced in order to improve the localization accuracy of algorithms, data obtained by the information of the vehicle away from the vehicle's odometer system as a concept of measurement in the Kalman observation equation in order to enhance the stability of the system positioning fading factor algorithm and improved. In the simulation stage, using the algorithm of odometer measurements and the positioning of this concept of measurement algorithms to the results of a detailed comparison, the end result showed that the positioning accuracy of the proposed algorithm is significantly improved compared to the odometer data location algorithm .