I am taking raw data directly from accelerometer in MATLAB. I want to filter the data with Kalman filter with good estimation.
Some questions:
1. What do you intend to do with the data?
2. Do you have an underlying model that can define your process (a simple AR process can also be an answer)?
A good overview of Kalman filter can be found in 'Optimal state estimation' by Dan Simon.
You can also follow some of our recent publication where we have used Kalman filter to estimate the fundamental supply frequency of a signal and then used the estimate to remove it from the signal. This helped us in conditioning the signal by enhancing other components of the signal that were previously obscured by the fundamental component. Kalman filters have wide uses in optimal estimation, tracking, and numerous other applications.
Dear T. H. singh
take a look at this link you will find matlab code for kalman Filter
https://fr.mathworks.com/help/coder/examples/c-code-generation-for-a-matlab-kalman-filtering-algorithm.html
Thank you very much for the help. I am trying to work on prediction using the data.
Article Multi-site modeling and prediction of annual and monthly pre...
I am not sure what you are expecting to do with the kalman filter to the accelerometer but I presume the input to your system is acceleration (as read by the accelerometer) and you want to estimate position, velocity or both. There is a very good article in http://academic.csuohio.edu/simond/courses/eec644/kalman.pdf. This was Originally developed for use in spacecraft navigation, but it is useful for many applications. I hope if you give time to read this article it will help you to understand how to solve your problem.
https://www.mathworks.com/help/control/examples/kalman-filter-design.html
Gereziher Adhane the position estimated throught Kalman Filter takes the instant orientation into account? Because i'm working on a project where its Known the data acceleretion and data orientation
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