The Research On Indoor Wireless Positioning Technology

At present, as the direction of hot spots in current information technology, wireless location is being attracting more and more attention. As the relatively late start, the existing wireless network positioning technology is not very mature. With the rapid development of wireless LANs, positioning technology is booming. As a new development and research, it has great potential for application development.The major achievements of this paper are outlined as follows:(1) This paper has made a lot of derivation of analysis for the Wireless location technology in a variety of algorithms. The positioning process needs the channel transmission model, and a variety of performance indicators in-depth study;(2) NLOS (No Line Of Sight) propagation, as well as the introduction of nonlinear equations of error, the key factors affecting the positioning performance, this time will not directly use the original classic positioning algorithm. This paper mainly focuses on the analysis of the NLOS identification, suppression and elimination. And on this basis, we proposed and simulation a positioning algorithm to reduce the impact of NLOS wireless;(3) TDOA (Signal Time Of Arrival) positioning method for wireless location technology is widely used as a positioning technology, and has great research value. TDOA that includes the Fang algorithm, Chan and Taylor algorithm, and we derive the algorithm in detail In this paper. The integration of two algorithms can be improved to some extent the positioning accuracy. This integration algorithm is based on the attempt, and we simulation t the performance of the model.(4)I propose a algorithm based on the setting of threshold-based wireless LAN indoor positioning compared with the original algorithm. The algorithm will first divide locate contamination area into NLOS heavy and NLOS less contaminated areas,each region has the same signal propagation model. Use threshold to identify NLOS path tree, positioned so as to arrive in the NLOS area of serious pollution, in order to take a different positioning algorithm;By the end of the simulation derived, we can conclude that the new improved algorithm greatly improves the accuracy of indoor positioning. In view of this, the future of wireless indoor positioning algorithm still needs further study. In the study, the most important thing is to locate the transmission channel and the calculation method of combining in-depth study, so that we can achieve a breakthrough based on the current position.