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A simple treatment for suboptimal Kalman filtering in case ofmeasurement data missing |
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| Authors: | Chen G |
| Institution: | Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX; |
| 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: | |