Rfid Indoor Positioning Algorithm Research

Radio frequency identification (RFID) technology is a recently hot research. It has been favored by many researchers for its easier technical characteristics than many other positioning technologies, and they want to use this technology to optimize the aspects of our lives, manufactures, and deeper researches. Nowadays, RFID technology is famous in the respect of indoor positioning, which might precisely position our target stuffs through their adhering of tags and the identification of readers.Currently there are many positioning modes in the wireless positioning environment such as the Angle of Arrival mode, the Time of Arrival mode, the Time Difference of Arrival mode and the Received Signal Strength mode. While for the characteristics of complex, space limitations, and the multi-path effect of the indoor environment AOA, TO A, and TDOA can hardly get the precision targets of the indoor positioning system since even the smallest measurement error might lead to the terrible outcome. However, the RSS mode can easily evade these problems. This dissertation starts the research of observing the performance characteristics and the many aspects which can change the performance of the LANDMARC-based system, then combines the technology of data fusion to promote the LANDMARC algorithm which is called the convergence algorithm. And further precision might be acquired through the convergence algorithm comparing the LANDMARC. At the end of dissertation the real system in the office is set up to perform.