Abstract
Recently, indoor positioning technology based on received signal strength in wireless networks are becoming more and more attractive. In this paper, we firstly introduced the experimental testbed in a typical office building. Then, we proposed the mechanism to improve the positioning accuracy by using five different filtering methods because of harsh multi-path environment and all kinds of disturbance in indoor areas. Thirdly, the experimental parameters of five filtering methods, called Limit Filter, Threshold Filter, Max Filter, MA Filter and Kalman Filter, were optimized and analyzed. Finally, we summarized the five filtering methods, and compared the performance of Limit Filter, Threshold Filter and Max Filter in detail. Experimental results demonstrated that the proposed Limit Filter and Threshold Filter can increase the accuracy in 3 meters of 91% to 98%.
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