Beacon-Based Indoor Location Measurement Method to Enhanced Common Chord-Based Trilateration
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초록
To make an unmanned aerial vehicle (UAVs) fly in indoor environments, the indoor locations of the UAVare required. One of the approaches to calculate the locations of an UAV in indoor environments is enhancedtrilateration using one Bluetooth-based beacon and three or more access points (APs). However, the locationsof the UAV calculated by the common chord-based trilateration has errors due to the distance errors of thebeacon measured at the multiple APs. This paper proposes a method that corrects the errors that occur in theprocess of applying the common chord-based trilateration to calculate the locations of an UAV. In theexperiments, the results of measuring the locations using the proposed method in an indoor environment wascompared and verified against the result of measuring the locations using the common chord-basedtrilateration. The proposed method improved the accuracy of location measurement by 81.2% compared tothe common chord-based trilateration.
Abstract
To make an unmanned aerial vehicle (UAVs) fly in indoor environments, the indoor locations of the UAVare required. One of the approaches to calculate the locations of an UAV in indoor environments is enhancedtrilateration using one Bluetooth-based beacon and three or more access points (APs). However, the locationsof the UAV calculated by the common chord-based trilateration has errors due to the distance errors of thebeacon measured at the multiple APs. This paper proposes a method that corrects the errors that occur in theprocess of applying the common chord-based trilateration to calculate the locations of an UAV. In theexperiments, the results of measuring the locations using the proposed method in an indoor environment wascompared and verified against the result of measuring the locations using the common chord-basedtrilateration. The proposed method improved the accuracy of location measurement by 81.2% compared tothe common chord-based trilateration.
참고문헌 (12)
- P. G. Fahlstrom, "Introduction to UAV Systems" (2012), Wiley
- 문성태, "실내 자율 비행을 위한 영상 기반의 위치 인식 시스템", 항공우주기술, 12(1), pp.128~136 (2013), 한국항공우주연구원
- 이호철, "비컨노드의 동적배치 기반 3차원 삼각측량 알고리즘을 적용한 위치인식 시스템에 대한 연구", 한국통신학회논문지B, 36(4), pp.378~385 (2011), 한국통신학회
- 손종훈, "개선된 삼변측량법을 이용한 위치인지 알고리즘 개발", 한국정보통신학회논문지, 17(2), pp.473~480 (2013), 한국정보통신학회[DOI]
- 이호철, "비컨노드 확장과 좌표공간 분해 기반 3차원 위치인식시스템", 한국통신학회논문지B, 38(1), pp.80~86 (2013), 한국통신학회
- J. Kwak, "Advances in Computer Science and Ubiquitous Computing", pp.165~169 (2015), Springer
- H. Liu, "Survey of wireless indoor positioning techniques and systems", IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 37(6), pp.1067~1080 (2007)
- P. Bahl, "RADAR: an in-building RF-based user location and tracking system", Proceedings of 19th Annual Joint Conference of the IEEE Computer and Communications Societies, pp.775~784 (2000)
- Y. Chen, "Signal strength based indoor geolocation", Proceedings of IEEE International Conference on Communications, 2002 (ICC 2002), pp.436~439 (2002)
- C. Feng, "Received-signal-strength-based indoor positioning using compressive sensing", IEEE Transactions on Mobile Computing, 11(12), pp.1983~1993 (2012)
- Y. Sung, "Real-time Beacon distance revision method in indoor environment", Advanced Science and Technology Letters, 106, pp.69~72 (2015)
- Y. Sung, "Advances in Parallel and Distributed Computing and Ubiquitous Services", pp.125~130 (2016), Springer