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Ultrasonic Satellite System Moving Object Positioning by Extended Kalman Filter
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  • Ultrasonic Satellite System Moving Object Positioning by Extended Kalman Filter
  • Ultrasonic Satellite System Moving Object Positioning by Extended Kalman Filter
저자명
Yoon. Kang-Sup,Kim. Su-Yong,Choi. Ju-Yong
간행물명
International journal of precision engineering and manufacturing
권/호정보
2011년|12권 5호|pp.783-790 (8 pages)
발행정보
한국정밀공학회
파일정보
정기간행물|ENG|
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기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

This paper presents positioning algorithms for an ultrasonic satellite system (USAT) consisting of multiple ultrasonic transmitters and receivers in buildings. The previously used inverse matrix method of calculating USAT positions suffers from problems related to transmitter layout, and the method is sensitive to sensor noise. To solve these problems, a geometric approach with verification by a comparison of simulations with the inverse matrix method, is suggested. However, when an object is moved quickly, the positioning error is increased. The moving object positioning algorithm with an extended Kalman filter (EKF),which takes account of the dynamics of the moving object, is therefore proposed for estimating USAT positioning during movement. The accuracy of the proposed algorithm is evaluated by simulations and experiments. The experimental results show that the proposed algorithm gives a better performance for dynamic states.