Journal of the Institute of Convergence Signal Processing (융합신호처리학회논문지)

The Korea Institute of Convergence Signal Processing (한국융합신호처리학회)
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Noise Removal of Acceleration Sensor Output using Digital Filter

디지털 필터를 이용한 가속도 센서 출력의 잡음 제거

  • Cheon, Bong-Won (Dept. of Control and Instrumentation Eng., Pukyong National University) ;
  • Kim, Nam-Ho (Dept. of Control and Instrumentation Eng., Pukyong National University)
  • 천봉원 (부경대학교 공과대학 제어계측공학과) ;
  • 김남호 (부경대학교 공과대학 제어계측공학과)
  • Received : 2018.12.15
  • Accepted : 2018.12.28
  • Published : 2018.12.31
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Abstract

As influence of the 4th industry is growing with development of information society more electronic devices and sensor are used in the field. As this is the case, importance of signal processing during data transfer is rising Furthermore, the need for technology to remove noise caused by various reasons and to stabilize sensor output is growing as well. This research suggests digital filter algorithm that efficiently remove noise by stabilizing output of accelerating sensor. The standard value of this algorithm is calculated by applying Gaussian coefficient. To maintain its feature, final output is obtained by subtracting weight depending on variance from standard value For its evaluation, it is compared with other protocols and its function is checked through output features.

정보화 시대의 사회로 발전하며 4차 산업혁명의 영향이 커짐에 따라 수많은 전자장비와 센서들이 산업 현장에서 사용되고 있다. 그에 따라 데이터 전송 과정에서 발생하는 신호처리의 중요성이 증가되었으며, 여러 가지 원인으로 발생하는 잡음의 제거와 센서 출력 안정화에 대한 기술이 요구되고 있다. 본 논문에서는 가속도 센서의 출력을 안정화하며 잡음 성분을 효과적으로 제거하기 위한 디지털 필터 알고리즘을 제안하였다. 제안한 알고리즘은 출력의 안정화를 위해 우선 가우시안 계수를 적용하여 기준치를 구하였다. 그리고 센서 출력의 특성을 보존하기 위하여 분산에 따른 가중치를 기준치에 가감하여 최종 출력을 구한다. 제안한 알고리즘의 평가를 위해 기존의 방법들과 비교하였으며, 출력 특성을 통해 성능을 확인하였다.

Keywords

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