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Location Estimation Algorithm Based on AOA Using a RSSI Difference in Indoor Environment
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 Title & Authors
Location Estimation Algorithm Based on AOA Using a RSSI Difference in Indoor Environment
Jung, Young-Jin; Jeon, Min-Ho; Ahn, Jeong-Kil; Lee, Jung-Hoon; Oh, Chang-Heon;
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 Abstract
There have recently been various services that use indoor location estimation technologies. Representative methods of location estimation include fingerprinting and triangulation, but they lack accuracy. Various kinds of research which apply existing location estimation methods like AOA, TOA, and TDOA are being done to solve this problem. In this paper, we study the location estimation algorithm based on AOA using a RSSI difference in indoor environments. We assume that there is a single AP with four antennas, and estimate the angle of arrival based on the RSSI value to apply the AOA algorithm. To compensate for RSSI, we use a recursive averaging filter, and use the corrected RSSI and the Pythagorean theorem to estimate the angle of arrival. The results of the experiment, show an error of 18% because of the radiation pattern of the four non-directional antennas arranged at narrow intervals.
 Keywords
Angle of arrival;Indoor location estimation;Recursive averaging filter;Received signal strength indicator;Location based service;
 Language
Korean
 Cited by
 References
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