Optimization of Indoor Positioning Algorithm Based on LANDMARC

Abstract

With the development of science and technology, RFID based indoor positioning technology is more and more widely used, among which LANDMARC indoor positioning system nearest neighbor algorithm has become the mainstream algorithm, aiming at the classic land The existence of multipath effect, noise random variable and various kinds of obstacles in the VIRE, Marc and its improved algorithm, makes reader reading ability decrease, affects the selection of nearest label, and then makes the positioning accuracy of the system decrease. This paper presents a new improvement scheme. Firstly, the RSSI is preprocessed by Gaussian filter, then the adaptive threshold is set, and the RSSI value of virtual reference label is obtained by Newton interpolation method. Then the positioning results are corrected by position correction. At the same time, the boundary virtual reference label is set, and the accuracy of RSSI is improved by these methods, and the coverage of reference label is increased. The simulation results show that the improved algorithm has higher positioning accuracy and stronger stability than LANDMARC and VIRE algorithm.