Study On UWB Location Algorithm For Indoor Complex Environment Based On CHAN-Taylor

In recent years,with the rapid development of wireless communication technologies,the demand for high-precision indoor positioning services has become more and more demanded.The obvious multipath and time-varying characteristics of the signal during transmission are caused by complex indoor non-line-of-sight environments.High-precision positioning in indoor non-line-of-sight environment is difficult to be achieved by traditional positioning technology.In this thesis,based on the existing indoor positioning technology,an improved algorithm based on CHAN-Taylor is given and applied to indoor ultra-wideband positioning to effectively improve the positioning accuracy under non-line-of-sight conditions.The main research contents of this thesis are as follows:(1)In this thesis,the research background and significance of indoor positioning technology are summarized,and the research status of UWB signal non-line-of-sight discrimination and collaborative positioning is summarized.The typical parametric indoor positioning method and the UWB indoor channel model of IEEE 802.15.4a are introduced.The indoor line-of-sight and non-lineof-sight error models are introduced,and compared with the measurement results of the existing literature,the simulation results are in good agreement.(2)In this thesis,the application of CHAN-Taylor in indoor non-line-of-sight environment is studied,and an improved algorithm is given.After the non-line-of-sight error is optimized by the central limit theorem,the estimated value is obtained by CHAN and CHAN-Taylor,and finally the two estimates are obtained.Weighting is performed to obtain an estimate of the final tag position.The technical route and algorithm flow of this thesis are elaborated.(3)In this thesis,based on Least Squares-Support Vector Machine classification method for non-line-of-sight discrimination in complex indoor environment,the characteristic parameters(including kurtosis,over-time delay,root mean square delay,etc.)based on UWB signal in indoor environment are studied.The obtained classification model effectively classifies the line-of-sight and non-line-of-sight propagation paths.(4)In this thesis,the application of localization algorithm in indoor non-line-of-sight environment,cooperative positioning environment and indoor three-dimensional space is studied.The average positioning error and cumulative probability distribution of errors of the algorithm,CHAN-Taylor algorithm and CHAN algorithm in three indoor environments are compared by simulation.