https://github.com/arezaie14/ars_kalman_filter

This is Kalman filter in c language for all programming languages such a micro controllers and ...
https://github.com/arezaie14/ars_kalman_filter

c cpp filter filters function-parametres kalman-filter mea micro-controllers microcontroller programming-languages

Last synced: 3 months ago
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This is Kalman filter in c language for all programming languages such a micro controllers and ...

• Host: GitHub
• URL: https://github.com/arezaie14/ars_kalman_filter
• Owner: arezaie14
• Created: 2019-07-22T04:49:34.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-05-01T16:33:02.000Z (almost 5 years ago)
• Last Synced: 2023-11-28T08:34:11.396Z (about 1 year ago)
• Topics: c, cpp, filter, filters, function-parametres, kalman-filter, mea, micro-controllers, microcontroller, programming-languages
• Language: C
• Size: 14.6 KB
• Stars: 7
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# A Simple Kalman Filter

This is a simple Kalman filter based on c language, but it's easy to use in all programming languages such a micro controllers and cross platform programmings and ...

### Refrence :

https://github.com/denyssene/SimpleKalmanFilter.git

### How To use:

```

1- init your kalman with kalman function like: kalman(4,4,0.016);

2- use kalman_update(your_data_to_filter_in_float) to filter your data

```

### kalman(e_mea,e_est,q) function parametres:

```

e_mea: Measurement Uncertainty - How much do we expect to our measurement vary

e_est: Estimation Uncertainty - Can be initilized with the same value as e_mea

       since the kalman filter will adjust its value.

       

q:     Process Variance - usually a small number between 0.001 and 1 - how fast your measurement moves. 

       Recommended 0.01. Should be tunned to your needs.

```

### kalman_update(mea) function parametres:

```

mea: the data you want to filter

```

### Sample program:

```

#include "kalman.h"

int main(){

  float kalman_out;

  float your_data_to_filter=0;

  kalman(4,4,0.016);

  while(true){

    

    your_data_to_filter=read_adc(0);  

    // this is an example function like reading analog value with microcontroller or other function you want ...

    

    kalman_out=kalman_update(your_data_to_filter);

    // now kalman filter result is in kalman_out variable, you can use it :).

  

  }

}

```

If any questions please ask :)

[email protected]