基于TDC-GP22的室内定位系统设计
[Abstract]:Indoor positioning technology has high practical value and is a promising research topic. In addition to the problem of balance among basic cost, positioning accuracy and universality, the existing indoor positioning techniques and schemes are difficult to achieve satisfactory positioning accuracy and reliability. While perfecting the existing positioning technology, exploring new positioning scheme is also a new way for us to study. Aiming at the problem of indoor positioning, this paper presents a design scheme of TDOA (Time Difference of Arrival) indoor positioning system without clock synchronization. The system is based on warehousing and handling robot, with the help of radio communication circuit, A high precision time-digital converter (TDC-GP22) is used to measure the propagation delay difference between the radio transmitter and the auxiliary node of the robot. The hyperbolic positioning method is used to estimate the relative coordinate position of the target. This paper firstly introduces the background and present situation of indoor positioning technology, compares the advantages and disadvantages of existing indoor positioning techniques and localization algorithms, and expounds the research process of time measurement methods and methods in principle. The results show that the existing digital time measurement methods and measurement accuracy are sufficient for indoor positioning. Secondly, the design scheme of indoor positioning system based on TDC-GP22 is put forward, mainly from two aspects of hardware layout and software system design. The hardware is explained from the aspects of chip selection and circuit design, and the software mainly explains the bottom driver of each module and the upper application design. The working mode and software driver design of time-digital converter (TDC-GP22) are introduced in detail. Then, the TDOA moveout algorithm is discussed, and the initial target location is estimated by the Chan algorithm, which combines the Chan algorithm and Taylor expansion algorithm. The obtained initial solution is then calculated iteratively by Taylor expansion method to obtain more accurate positioning coordinates. Finally, the system is debugged, the basic function of the system is tested, and the one-dimensional ranging experiment and the two-dimensional positioning (LOS) experiment are measured respectively. First, closed circuit experiments are carried out in two-dimensional plane experiments, and then open circuit experiments are carried out in simple and complex environments. The results are compared by Chan algorithm, Taylor expansion method and the algorithm combined with the two algorithms. The experimental results show that the error of the indoor positioning system can reach less than 1m when the positioning results are ideal under the LOS two-dimensional plane of simple environment and the combination of Chan algorithm and Taylor expansion method.
【学位授予单位】:南京理工大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TN92
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