Title :
A simple treatment for suboptimal Kalman filtering in case of measurement data missing
Author_Institution :
Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX
fDate :
3/1/1990 12:00:00 AM
Abstract :
A very simple yet efficient suboptimal Kalman filtering algorithm is proposed for the standard filtering process in an environment where some measurement data are missing. A convergence analysis for the algorithm is given
Keywords :
Kalman filters; computerised signal processing; measurement theory; computerised signal processing; convergence analysis; missing measurement data; standard filtering; suboptimal Kalman filtering; Algorithm design and analysis; Computer aided software engineering; Convergence; Filtering algorithms; Information filtering; Information filters; Kalman filters; Measurement standards; Smoothing methods; State estimation;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
