Research On Ultra Wideband Indoor Positioning Technology

With the rapid development of Internet technology,the demand for wireless network positioning is also increasing,and the research on indoor positioning has become a hot spot.At present,there are various methods of indoor positioning,most of which cannot match the demand for indoor wireless positioning due to the accuracy problem.Ultra-wideband(UWB)is gradually used in the field of wireless communication and wireless network positioning as a potential wireless transmission technology with its own characteristics and advantages.For the problem of indoor positioning accuracy,based on the analysis of traditional wireless positioning technology,by analyzing the ultra-wideband positioning technology,the research of this thesis is carried out from the improvement of the ranging method and the positioning algorithm.This thesis first introduces the concepts and advantages of the UWB system.It also studies the signal model and channel model of the UWB system.At the same time,several wireless positioning algorithms and Kalman filtering algorithms are analyzed,and the abilities of three Kalman filtering algorithms are compared by simulation.In the analysis of wireless ranging technology,this thesis elaborates the TOF ranging technology in detail.The TOF technology is simple and easy to implement,but there are problems such as difficulty in synchronization between nodes and frequency deviation of clock crystal.Aiming at the problems of TOF technology,this thesis proposes an improved ADS-TWR ranging method,which solves the above problems largely by using different ranging processes and new calculation method.And it is proved that the method has higher accuracy by formula derivation and simulation analysis.In the analysis of indoor positioning algorithms,classical algorithms have some shortcomings.For example,the accuracy of Chan algorithm in non-line-of-sight environment will be affected;Taylor algorithm is greatly affected by the initial position.In response to these problems,this thesis proposes an improved Chan-Taylor hybrid weighted positioning algorithm.This algorithm combines the advantages of the classical algorithm,reasonably sets the weight,and weights the two algorithms to further calculate the position coordinates.Through the simulation analysis,the conclusion that this algorithm has high positioning accuracy is obtained.It can be seen from the simulation experiments that the improved ADS-TWR ranging method and the improved Chan-Taylor hybrid weighted positioning algorithm have more accurate results in UWB positioning.Compared with the existing positioning technologies,the method and the algorithm of this thesis has reduced the positioning error and improved the positioning accuracy.