Journal of Advanced Navigation Technology (한국항행학회논문지)

The Korean Navigation Institute (한국항행학회)
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Location Estimation Algorithm Based on AOA Using a RSSI Difference in Indoor Environment

실내 환경에서 RSSI 차이를 이용한 AOA 기반 위치 추정 알고리즘

  • Jung, Young-Jin (Department of Electrical, Electronics and Communication Engineering, Korea University of Technology and Education) ;
  • Jeon, Min-Ho (Department of Electrical, Electronics and Communication Engineering, Korea University of Technology and Education) ;
  • Ahn, Jeong-Kil (Pinetelecom Co., LTD.) ;
  • Lee, Jung-Hoon (Pinetelecom Co., LTD.) ;
  • Oh, Chang-Heon (Department of Electrical, Electronics and Communication Engineering, Korea University of Technology and Education)
  • 정용진 (한국기술교육대학교 전기전자통신공학과) ;
  • 전민호 (한국기술교육대학교 전기전자통신공학과) ;
  • 안정길 ((주)파인텔레콤) ;
  • 이정훈 ((주)파인텔레콤) ;
  • 오창헌 (한국기술교육대학교 전기전자통신공학과)
  • Received : 2015.11.17
  • Accepted : 2015.12.10
  • Published : 2015.12.30
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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.

최근 실내 위치측위 기술을 이용하여 다양한 서비스가 이루어지고 있다. 실내 위치측위 방식에는 대표적으로 fingerprinting 방식과 삼변측량 방식이 있으나 활용의 제한성 및 위치추정 오차 등의 문제점이 있다. 이러한 문제점을 해결하기 위해 기존의 측위 방식인 AOA, TOA, TDOA 등의 측위 기술을 응용한 연구가 진행되고 있다. 본 논문에서는 실내 환경에서 RSSI 차이를 이용한 AOA 기반 위치 추정 알고리즘에 대해 연구한다. 4개의 안테나를 가지는 하나의 AP를 가정하여 연구를 진행하며, RSSI를 기반으로 도래각을 추정 후 AOA 알고리즘에 적용한다. RSSI의 보정을 위해 재귀식 평균 필터를 이용하며, 도래각 추정을 위해 보정된 RSSI와 피타고라스 정리를 이용한다. 실험 결과 좁은 간격으로 배치된 4개의 무지향성 안테나의 방사 패턴으로 인하여 18%의 오차율을 보였으며, 지향성 안테나를 이용할 경우 실내 환경에서 AOA 알고리즘을 활용할 수 있을 것으로 판단된다.

Keywords

References

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