RSSI Ranging Method Based on the Weighted Distance Interval Probability
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Graphical Abstract
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Abstract
Vulnerability to environmental interference makes RSSI multiple figures, which leads to the destruction of the one-to-one map between the "RSSI-Distance", and a larger error in the distance mapping which solely uses the point-to-point mapping between the RSSI and the distance. To solve this problem, a ranging method based on weighted distance interval probability is proposed: establishing the mapping relation between RSSI and distance interval, calculating the probability of the occurrence of RSSI in each point of the interval distance, and then weighted summing with probabilities of all intervals. The results is then used as the distance corresponding to the RSSI. The simulation results show that this method provides a higher ranging precision in different degrees compared with the method of curve fitting and interval ranging method.
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