Design And Implementation Of Robust Uwb Indoor Positioning System Base On Multi-Source Optimization

With the continuous development of science and technology,people’s working scenes are gradually moving from outdoor environment to indoor environment.The demand for accurate indoor positioning and location services based on indoor positioning is increasing day by day.Indoor location services and personnel and goods management have good application scenarios.Due to the complex structure of indoor places,GNSS signals decay rapidly indoors,which makes precise positioning impossible.Due to the characteristics of UWB signal such as high ranging accuracy and strong signal penetration,UWB technology is gradually becoming the main application technology to solve indoor high-precision positioning.However,due to the existence of non-line-of-sight environment in complex indoor environment,the positioning accuracy will be greatly reduced due to the error caused by the UWB.Therefore,it is necessary to solve the problem of non-line-of-sight error caused by obstacles while using UWB positioning,so as to achieve a set of universal adaptive high-precision UWB positioning system.This paper first introduces the characteristics of uWB technology,and then briefly summarizes the common methods of wireless signal location.Combined with the actual needs of this topic,the advantages and disadvantages of common location algorithms and location performance are studied.In the real environment,the positioning robustness is affected by multipath propagation and NLOS,so it is difficult to continuously generate accurate and reliable positioning information.Huber function is used to suppress abnormal measurements in TDOA measurement calculation to improve the positioning robustness.Due to the limitations of single UWB positioning,And based on the IMU inertial navigation system is not sensitive to multipath interference and without external equipment localization characteristics,adopt the method of multiple source sensor data fusion positioning,UWB and innovative marketing advantage complementary and through extended kalman filter for multi-source data fusion,and the positioning calculation process optimization,to provide a high robustness and high precision positioning system.In this paper,according to the key ideas of software engineering,on the basis of fully research analyzes the application scenario,the system physical architecture,technical route selection,users of the system and the division of function modules,database tables,a summary of the content such as design,the key to the detailed design of positioning system,positioning as a key to be detailed introduction,in the laboratory for the actual deployment,The functional test and non-functional test of the system were carried out to verify whether the requirements and performance of the system met the functional points required by users in the demand analysis.Finally,the existing problems of the system were summarized and the direction of optimization was clarified.This topic has successfully designed and implemented a UWB indoor positioning system based on multi-source optimization,which can be applied in the actual scene to meet the requirements of high-precision positioning of the target.