RFID Positioning Based on Vehicle Positioning Subsystem

2017 Revista Técnica de la Facultad de Ingeniería Universidad del Zulia  
With the rapid development of mobile computing and embedded system, people has been increasingly interested on location awareness, and has been more and more concerned about vehicle positioning services system. However, radio frequency identification technology (RFID) is characterized of non-contact, NLOS, large transmission range and high cost performance etc. Consequently, the paper mainly studied the RFID positioning algorithm based on vehicle positioning subsystem. First of all, the paper
more » ... of all, the paper analyzed LANDMARC and VIRE algorithm. It proposed triangular grid layout specific to VIRE system algorithms, and compared the positioning performance of rectangular grid layout. Under the circumstance of no other data processing means applied, the positioning precision of triangular grid layout is higher than that of rectangular grid layout. In addition, the linear interpolation used specific to VIRE algorithm is not applicable to the defects at electromagnetic environment. The paper adopted BP neural network model to solve the signal strength value of virtual tag, and compared it with Newton inserting method. The results indicate that the positioning precision of neural network-VIRE is 14.9% and 10.2% higher than that of linear interpolation-VIRE and newton interpolation-VIRE respectively. FOREWORD In recent years, wireless communication system has been growing at an amazing speed. Wireless technology has entered communication, industrial, medical, consumer applications, logistics transportation and public security and other fields, including indoor and outdoor positioning (Yu, Zheng and Wei, 2015) . Its development is closely related to people's daily life. At present, self-organized wireless sensor network can provide information services such as tracking and navigation. And the development of wireless network enables the users to extensively obtain wireless information access thus to put forward higher requirements on accurate positioning of wireless network. However, the existing wireless positioning technologies include GPS (Han, Kim and Park, 2009), Zigbee(Hong, Huang and Chen, 2013), Bluetooth(Jiang, 201; Xi, Jiang and Liao, 2014) and UWB(Liu, Lu, Xu and 2012) etc.. However, the locating process of all the wireless positioning technologies is significantly restricted. For example, the signal of GPS is weak in concentrated downtown and places with many buildings. And the updating of positioning information is long and cannot satisfy quick positioning requirements. Furthermore, the cost of GPS receiving apparatus is high. It is applicable to areas with better economic conditions, and is not suitable for large-area promotion. Radio frequency identification technology (RFID), an automatic identification technology emerged in 1990s, can automatically identify the object via radiofrequency signal (Saab, Mhanna and Saliba, 2009) , and acquire relevant information of the object with different types of signals. Furthermore, RFID tag has realized contactless operation, and it is characterized of small size and large capacity, dispense with visible light source, high penetrability, as well as strong anti-pollution capacity and durability. In addition, the NLOS identification and tag of RFID tags can work in harsh environments, support fast reading and writing of multiple objects, and realize real-time location and long-term tracking management (Song, Li and Tang, 201; Wang, Ni and Li, 2014) ). It can be extensively applied in outdoor positioning due to the low cost and high positioning accuracy (Saab and Nakad, 2011). Consequently, the paper mainly studied the RFID positioning application based on vehicle positioning subsystem, and focused on discussing the impact of different positioning algorithms on position accuracy (Song, Li and Zhang, 2016) . First of all, it introduced the positioning method of RFID technology system, focused on analyzing the LANDMARC and VIRE algorithm based on receiving signal strength, and analyzed the impact of algorithm parameters on positioning accuracy. Secondly, linear interpolation is used specific to VIRE system as an improvement. The distance between the tags to reader is applied as the input
doi:10.21311/ fatcat:m2pnbyy4lvbatpnvpgdlbngybq