The Research Of Precision Indoor Positioning Technology And Algorithm Based On 60 GHz Pulse

With the development of wireless communication and wireless location technology, the demand of people for navigation and positioning increase rapidly. It is necessary for mobile wireless equipment such as mobile terminals and sensors to achieve precise positioning especially in complex environment likeing medical,precision instrument manufacturing and so on. Currently, Wi-Fi technology, Infrared technology and Ultra-wideband which are used to indoor positioning can not achieve high-precision positioning. Moreover,the radio spectrum space in low frequency has been largely occupied. Compared with these technologies, 60 GHz pulse radio stands out from short-range indoor positioning technology by taking advantage of high temporal resolution and multipath resolution, and more available spectrum resources.This paper mainly studies how to improve the positioning accuracy using 60 GHz pulse radio in line of sight( LOS) and non line of sight( NLOS) environment.Through researches and simulations, we can find that the positioning scheme based on time ranging can achieve centimeter-level positioning accuracy by taking full advantage of high temporal resolution and multipath resolution in LOS. The 60 GHz pulse is difficult to achieve precise positioning based on time ranging in NLOS environment due to the complexity of indoor environment in which the signal is easily affected by reflection, multipath effects, obstruction and other factors. To overcome these problems, this paper applies fingerprinting based localization to 60 GHz positioning system and introduces the weighted K-nearest neighbor(KNN)fingerprinting positioning and fuzzy fingerprinting positioning based on traditional method.Weighted KNN fingerprinting location algorithm solves the problem of distributed fingerprinting node caused by the similar signal intensity that traditional fingerprinting algorithm do not consider and reduces the influence of external factors to the positioning accuracy. Fuzzy fingerprinting positioning method is proposed in this paper based on the current classical fuzzy recognition positioning model and obtains the location information utilized the closeness between the location node andthe sampling node for which reason it simplifies the coordinate, reduces the complexity of the match and has a strong anti-interference performance. Simulation results show that weighted KNN fingerprinting positioning program and fuzzy fingerprinting positioning program using 60 GHz pulse radio can reach decimeter-level in positioning accuracy that solves the problem of 60 GHz pulse precise indoor positioning in NLOS environment.The results of this paper have both theoretical value and practical value, and lay a solid theoretical foundation for the development of 60 GHz pulse positioning system.At the same time, it also promote the commercial use of the 60 GHz pulse positioning in the filed of accurate indoor positioning.