The Study On Wireless Location Technology Based On Mobile Broadcast Network

In recent years, wireless positioning technology is widely used in the social life,including security services, traffic management, navigation and radio resource management.Using OFDM modulation technology, the wireless positioning based on mobile broadcastnetwork is better than traditional cellular positioning in anti-multipath and bandwidthefficiency. It has a unique advance in indoor and outdoor positioning because mobilebroadcast signal has a good synchronous ranging accuracy and indoor receptioncharacteristics. This article focuses on how to improve the the wireless positioning accuracyof mobile broadcast network, and its main work and achievement are as follows:Firstly, according to the radio channel of the mobile positioning broadcast networksignal transmission, analyze the fading model and features of mobile broadcast signaltransmission; given the delay error model of TDOA location based on mobile broadcastnetwork combined COST259model and GBSB model.Secondly, analyze the wireless location system composition and positioning processbased on mobile broadcast network in detail. Discuss the positioning principle and make thesimulation analysis of Chan, Taylor and other algorithm. Then a novel method is proposed toimprove positioning performance in the TDOA coordination positioning algorithm of basestation optimization.Again, due to the NLOS and the multipath making a targeted area in positioning,research the location of the mobile station optimal estimation method in the area, then aTDOA multi-base station positioning based on the TOA Centroid position correction isproposed. Taking full advantage of the TOA centroid algorithm’s advantages in eliminatenon-line-of-sight error and Chan algorithm’s better performance in LOS, then makingparameter data fusion. Simulation results show that the algorithm accuracy has beensignificantly improved compared with other hybrid positioning algorithm.Finally, aim at dynamic positioning errors caused by NLOS, combined with the mobilebroadcast signal propagation characteristics, the positioning tracking algorithm base on UKFand PF is proposed. We will take position estimate and state estimation by PF process thepositioning result which is obtained in the Chan algorithm, all of the particles through theUKF and re-sampling, to improve the positioning and tracking performance.The simulationresults show that the algorithm has better positioning and tracking performance and theshortcomings of classical particle filter positioning tracking real-time poor is gone.