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Robert Grover Brown
Publications - 6
Citations - 4658
Robert Grover Brown is an academic researcher. The author has contributed to research in topics: Kalman filter & Alpha beta filter. The author has an hindex of 6, co-authored 6 publications receiving 4612 citations.
Papers
More filters
Book
introduction to random signals and applied kalman filtering
TL;DR: In this paper, the Discrete Kalman Filter (DFL) is used for smoothing and prediction linearization in the Global Positioning System (GPS) and a case study is presented.
Book
Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercises
TL;DR: Probability and Random Variables: A Review, and more on Modeling: Integration of Noninertial Measurements Into INS.
Book
Introduction to random signals and applied Kalman filtering : with MATLAB exercises and solutions
TL;DR: The Discrete Kalman Filter (DLF) as mentioned in this paper is a state-space model based on the continuous Kalman filter (CKF) and is used for estimating the probability and random variables of a linear system to random inputs.