@techreport{oai:jaxa.repo.nii.ac.jp:00045394,
 author = {佐々, 修一 and 永安, 正彦 and 柳原, 正明 and 下村, 卓 and SASA, Shuichi and NAGAYASU, Masahiko and YANAGIHARA, Masaaki and SHIMOMURA, Takashi},
 month = {Dec},
 note = {直線運動の推定問題に,位置・速度・加速度の情報を用いたカルマンフィルタを適用し運動推定精度とセンサ精度の関係を考察した。運動推定精度はカルマンフィルタにおけるリカッチ方程式の解で求まる推定誤差共分散行列で評価した。これにより微分型センサ(速度計,加速度計)の精度と運動推定精度の関係を数値的に解析した。離散時間系,及び連続時間系についてそれぞれ解析を行い,指定した運動推定精度を得るために必要な微分型センサの精度について明らかにした。, Linear motion estimation was performed by application of a Kalman filler in conjunction with position, velocity, and acceleration sensors. The relationship between the sensor accuracy and the accuracy of the estimated motion was investigated. Motion estimation accuracy was evaluated using the Riccati equation covariance matrix obtained from the Kalman filler. The relation between the accuracy of the velocity and acceleration sensors and the motion estimation accuracy was subsequently derived numerically. The problem was analyzed for both discrete and continuous time systems, with the sensor accuracy that is necessary to attain the specified motion estimation accuracy then being derived., 資料番号: NALTR1135000, レポート番号: NAL TR-1135},
 title = {微分型センサ導入による運動推定精度の向上},
 year = {1991}
}