Autonomous dynamic displacement estimation from data fusion of acceleration and intermittent displacement measurements
We developed a new data fusion algorithm for dynamic displacement estimation. It autonomously combines acceleration and intermittent displacement measurements. It explicitly considers acceleration measurement error. Dynamic experiments and displacement estimation are conducted for its verification.
displacement estimation structural measurement acceleration integration sensor data fusion multi-rate kalman filtering