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Location Estimation Technique Based on TOA and TDOA Using Repeater

중계기를 이용한 TOA 및 TDOA 기반의 위치추정 기법

  • 전슬비 (조선대학교 전자공학과 IT-Bio 융합시스템 전공) ;
  • 황석승 (조선대학교 전자공학부 IT-Bio 융합시스템 전공)
  • Received : 2022.06.25
  • Accepted : 2022.08.17
  • Published : 2022.08.31

Abstract

Due to the epochal development of the unmanned technology, the importance of LDT(: Location Detection Technology), which accurately estimates the location of a user or object, is dramatically increased. TOA(: Time of Arrival), which calculates a location by measuring the arrival time of signals, and TDOA(: Time Difference of Arrival) which calculates it by measuring the difference between two arrival times, are representative LDT methods. Based on the signals received from three or more base stations, TOA calculates an intersection point by drawing circles and TDOA calculates it by drawing hyperbolas. In order to improve the radio shadow area problem, a huge number of repeaters have been installed in the urban area, but the signals received through these repeaters may cause the serious error for estimating a location. In this paper, we propose an efficient location estimation technique using the signal received through the repeater. The proposed approach estimates the location of MS(: Mobile Station) employing TOA and TDOA methods, based on signals received from one repeater and two BS(: Base Station)s.

무인화 기술의 획기적인 발달로 인해, 사용자 또는 객체의 위치를 정확히 추정하는 위치추정기술(Location Detection Technology : LDT)이 매우 중요하게 부각되고 있다. 대표적인 위치추정기술로 도달 시간을 측정하여 위치를 계산하는 TOA(: Time of Arrival)와 신호의 도달 시간차를 이용하여 위치를 계산하는 TDOA(: Time Difference of Arrival) 방식이 있다. 이들 기술은 3개 이상의 기지국들로부터 수신된 신호들을 기반으로 TOA의 경우에는 원을 TDOA의 경우에는 쌍곡선을 그려 교점을 계산해 위치를 추정하는 기술이다. 도심의 경우 전파 음영지역이 많이 발생하는데, 이 문제점을 개선하기 위해 많은 중계기가 설치되어 있다. 이러한 중계기를 거쳐서 수신되는 신호를 기반으로 단말기의 오차를 추정할 시 심각한 오차가 발생하게 된다. 본 논문은 중계기를 거쳐 수신된 신호를 이용하여, 위치를 정확하게 추정할 수 있는 기술을 제안한다. 제안된 기술은 한 개의 중계기와 두 개의 기지국으로부터 수신된 신호를 기반으로 TOA 및 TDOA 기법을 이용하여 단말기의 위치를 추정한다.

Keywords

Acknowledgement

이 논문은 2018년도 정부(교육부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임(No. NRF-2018R1D1A1B07041644). 이 논문은 2021년도 조선대학교 연구비의 지원을 받아 연구되었음.

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