2017•Unpublished venueRequires access

An improved indoor positioning algorithm based on RSSI filtering

Jin Xia Ren, Yunan Wang, Wenle Bai, Changliu Niu, Shan Meng

Abstract

For the positioning range of the indoor localization algorithm is limited, location accuracy requirements are more precise. In the study of the measurement distance based on the signal receiving strength (RSSI), it is not reliable to calculate the receiving signal strength to affect the final positioning accuracy. By sampling and analyzing the signal strength of the node, filter out too big error and further reduce the measurement error to improve the positioning accuracy. The feasibility and effectiveness of the improved algorithm are verified by simulation results. The location accuracy of positioning algorithm is improved.

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Available abstract

Key concepts: Signal strength, Received signal strength indication, Computer science, SIGNAL (programming language), Algorithm, Range (aeronautics), Node (physics), Filter (signal processing)