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A Study on LED Distance Recognition Measure Using Distance Measurement Correction Algorithm

거리계산 보정 알고리즘을 이용한 LED 거리 인식 측정에 관한 연구

  • 김지성 (원광대학교 정보통신공학과) ;
  • 정대철 (원광대학교 전기공학과) ;
  • 김용갑 (원광대학교 정보통신공학)
  • Received : 2016.12.22
  • Accepted : 2017.04.07
  • Published : 2017.04.30

Abstract

In this paper, Distance recognition measurement using distance calculation correction algorithm, was realization through LED dimming control. The calculation values for the RSSI average filtering and the RSSI feedback filtering were calculated and applied to reduce the error of the RSSI value measured from a long distance. It was confirmed that the RSSI values through the average filtering and the RSSI values measured by setting the coefficient value of the feedback filtering to 0.5 were ranged from -61 dBm to - 52.5 dBm, which shows irregular and high values decrease slightly as much as about -2 dBm to -6 dBm as compared to general measurements. A distance calculation correction algorithm to improve the accuracy was applied, which confirmed that as the distance increases, the range of errors decreases. In conclusion, unstable signals were corrected using the RSSI measurement result filtering, and the distance calculation correction algorithm was applied and performed to reduce the range of errors. In addition, RGB colors were implemented by LED to indicate the distance determination and the signal stability.

본 논문에서는 거리계산 보정 알고리즘을 이용하여 거리 인식 측정을 LED 디밍제어를 통해 구현하였다. 원거리에서 측정되는 RSSI 값의 오차를 줄이기 위해 RSSI 평균 필터링과 Feedback 필터링에 대한 계산 값을 산출 적용시켰다. 평균 필터링을 통한 RSSI 값과 Feedback, 필터링의 계수 값을 0.5로 설정하여 측정한 RSSI 값이 일반적인 측정에 비해 최대 -61dBm에서 최소 -52.5dBm으로 약 -2dBm에서 -6dBm 정도로 불규칙하고 높은 값이 다소 감소하는 것을 확인하였다. 정확도 향상을 위한 거리계산 보정 알고리즘을 응용하였으며 이를 통하여 거리가 증가함에 따라 오차의 범위가 감소하는 것을 확인하였다. 최종적으로 RSSI 측정결과 필터링을 이용해 불안정한 신호를 보정하였으며, 오차 범위를 줄이기 위해 거리계산 보정 알고리즘을 적용 시행하였다. 또한 거리판별과 신호의 안정도를 표시하기 위해 LED로 RGB 색상을 구현하였다.

Keywords

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