This is a basic kalman filter library for unidimensional models that you can use with a stream of single values like barometric sensors, temperature sensors or even gyroscope and accelerometers.

• Take a look at this youtube video to see the Kalman Filter working on a stream of values!

Special thanks to Denys Sene for his amazing work in https://github.com/denyssene/SimpleKalmanFilter

• /src - Source files for the library (.c, .h).

• 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.

int main()
{
	SimpleKalmanFilter* kf = newSimpleKalmanFilter(e_mea, e_est, q);
	while (1)
	{
		HAL_ADC_Start(&hadc1);
		HAL_ADC_PollForConversion(&hadc1, 1);
		float x = HAL_ADC_GetValue(&hadc1);
		float estimated_x = kf->updateEstimate(kf, x);
	}
}

This is an open source project! Please review the LICENSE.md file for license information.