Solving Linear Systems Problems Using Discrete Kalman Filter
Keywords:
Kalman Filter, Discrete Kalman Filter, Linear systems Problems, Stochastic Estimation, Vehicle Navigation ProblemAbstract
This paper deals with the software implementation of discrete Kalman filter. It introduces discrete Kalman filter algorithm and then looks at the use of this filter to solve linear systems problems such as a vehicle navigation problem. By using discrete Kalman filter, one can measure the position every T seconds given that the acceleration is changing. The software is implemented using the programming language of MATLAB Package and then it is tested under different conditions and circumstances. Finally, from testing results many points are then concluded.
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2013-03-01
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This work is licensed under a Creative Commons Attribution 4.0 International License.
The Journal of Engineering and Sustainable Development is an open-access journal that all contents are free of charge. Articles of this journal are licensed under the terms of the Creative Commons Attribution International Public License CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/legalcode) that licensees are unrestrictly allowed to search, download, share, distribute, print, or link to the full texts of the articles, crawl them for indexing and reproduce any medium of the articles provided that they give the author(s) proper credits (citation). The journal allows the author(s) to retain the copyright of their published article.
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How to Cite
Solving Linear Systems Problems Using Discrete Kalman Filter. (2013). Journal of Engineering and Sustainable Development, 17(1), 114-127. https://jeasd.uomustansiriyah.edu.iq/index.php/jeasd/article/view/1094
