Mercurial > hg > beaglert
comparison core/Kalman.cpp @ 149:134bff10e561 ClockSync
Added simple one-variable one-measurement Kalman filter, Pid controller(which output is not used). Virtual clock is now much more precise and reactive for period. Still it is lagging behind a bit on the overall offset.
author | Giulio Moro <giuliomoro@yahoo.it> |
---|---|
date | Mon, 21 Sep 2015 03:12:21 +0100 |
parents | |
children |
comparison
equal
deleted
inserted
replaced
148:6cd38e261027 | 149:134bff10e561 |
---|---|
1 /* | |
2 * Kalman.cpp | |
3 * | |
4 * Created on: 20 Sep 2015 | |
5 * Author: giulio | |
6 */ | |
7 #include "Kalman.h" | |
8 void KalmanOne::init(double newQ, double newR, double newX){ | |
9 A = 1; | |
10 H = 1; | |
11 Q = newQ; // covariance of the error on the prediction | |
12 R = newR; // covariance of the measurement error | |
13 x = newX; // 5805.09230769231; % predicted x | |
14 P = 6; // predicted covariance | |
15 return; | |
16 } | |
17 double KalmanOne:: process(double z){ | |
18 double xp = A*x; // I. Prediction of the estimate | |
19 double Pp = A*P*A + Q; // Prediction of the error covariance | |
20 double K = Pp*H/(H*Pp*H + R); // II. Computation of Kalman gain | |
21 x = xp + K*(z - H*xp); // III. Computation of the estimate | |
22 P = Pp - K*H*Pp; // IV. Computation of the error covariance | |
23 return x; | |
24 } |