An Indoor Positioning Method Using High Probability RSSI

초록

This paper addresses a novel method for RSSI-based ranging precision in an indoor positioning The main challenge is to overcome the random signal interference to improve the accuracy of the ranging method. In order to overcome the disadvantages of the problem, several approaches have been proposed in numerous sources, such as mean filter, median filter and Gaussian filter algorithms. However, these current methods may not provide satisfactory results in dynamic indoor environments. Therefore, we tackle the problem by presenting an algorithm that improves the RSSI by averaging over multiple high-frequency RSSI observations. For example, fitting a wireless signal fading model based on various correlations between the high-frequency RSSI average and distance. This would allow us to obtain more accurate distance measurements. The results of the experiment show that the method significantly improve the precision without the requirement of additional equipment compared to existing methodologies.

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