Common feature of displacement-based sensing is that the high-frequency resolution is limited, and often relatively low sampling rates are used. Another problem is that integration of accelerometer data that causes low-frequency noise amplification, and potentially more problematic differentiation of displacement measurements which amplify high-frequency noise. A multi-rate Kalman filtering approach is proposed to solve these problems. This method yields highly accurate motion data.

• 김은성(한국유지관리(주) 미래사업부 부장) | Kim, Eun Sung
• 장현재(한국유지관리(주) 미래사업부 대리) | Jang, Hyun Jae