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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 사단법인 항법시스템학회 Journal of Positioning, Navigation, and Timing Journal of Positioning, Navigation, and Timing 제9권 제2호
- 발행연도
- 2020.1
- 수록면
- 99 - 115 (17page)
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초록· 키워드
오류제보하기
Since GNSS is easily affected by jamming and/or spoofing, alternative navigation systems can be operated as backup system to prepare for outage of GNSS. Alternative navigation systems are being researched over the world, and a multi-radio integrated navigation system using alternative navigation systems such as KNSS, eLoran, Loran-C, DME, VOR has been researched in Korea. Least Square or Kalman filter can be used to estimate navigation parameters in the navigation system. A large number of measurements of the Kalman filter may lead to heavy computational load. The decentralized Kalman filter and the federated Kalman filter were proposed to handle this problem. In this paper, the decentralized Kalman filter and the federated Kalman filter are designed for the multi-radio integrated navigation system and the performance evaluation result are presented. The decentralized Kalman filter and the federated Kalman filter consists of local filters and a master filter. The navigation parameter is estimated by local filters and master filter compensates navigation parameter from the local filters. Characteristics of three Kalman filters for a linear system and nonlinear system are investigated, and the performance evaluation results of the three Kalman filters for multi-radio integrated navigation system are compared.
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참고문헌 (23)
참고문헌 신청
Andrzej Banachowicz / 2017 / A Comparison of the Least Squares with Kalman Filter Methods Used in Algorithms of Fusion with Dead Reckoning Navigation Data / TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation 11(4):691~695
Bar-Shalom, Y. / 2001 / Estimation with Applications to Tracking and Navigation / John Wiley & Sons
Brown, R. G. / 1997 / Introduction to Random Signals and Applied Kalman Filtering / John Wiley & Sons
Carlson, N. A. / 1988 / Federated Filter for Fault-tolerant Integrated Navigation Systems / IEEE PLANS '88., Position Location and Navigation Symposium
NEAL A. CARLSON / 1994 / Federated Kalman Filter Simulation Results / Navigation 41(3):297~322
Bar-Shalom, Y. / 2001 / Estimation with Applications to Tracking and Navigation / John Wiley & Sons
Brown, R. G. / 1997 / Introduction to Random Signals and Applied Kalman Filtering / John Wiley & Sons
Carlson, N. A. / 1988 / Federated Filter for Fault-tolerant Integrated Navigation Systems / IEEE PLANS '88., Position Location and Navigation Symposium
NEAL A. CARLSON / 1994 / Federated Kalman Filter Simulation Results / Navigation 41(3):297~322
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