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【C】简单的卡尔曼滤波器

作者:Dezai.CN / 发布于2011/2/10/ 489

<div>/** A simple kalman filter example by Adrian Boeing 
<a href="http://www.adrianboeing.com">www.adrianboeing.com</a> 
*/</div>
#include <stdio.h>
#include <stdlib.h>
#include <math.h></div>
<div>double frand() {
 return 2*((rand()/(double)RAND_MAX) - 0.5);
}
<div>int main() {</div>
<div> //initial values for the kalman filter
 float x_est_last = 0;
 float P_last = 0;
 //the noise in the system
 float Q = 0.022;
 float R = 0.617;
 
 float K;
 float P;
 float P_temp;
 float x_temp_est;
 float x_est;
 float z_measured; //the 'noisy' value we measured
 float z_real = 0.5; //the ideal value we wish to measure
 
 srand(0);
 
 //initialize with a measurement
 x_est_last = z_real + frand()*0.09;
 
 float sum_error_kalman = 0;
 float sum_error_measure = 0;
 
 for (int i=0;i<30;i++) {
 //do a prediction
 x_temp_est = x_est_last;
 P_temp = P_last + Q;
 //calculate the Kalman gain
 K = P_temp * (1.0/(P_temp + R));
 //measure
 z_measured = z_real + frand()*0.09; //the real measurement plus noise
 //correct
 x_est = x_temp_est + K * (z_measured - x_temp_est); 
 P = (1- K) * P_temp;
 //we have our new system
 
 printf("Ideal position: %6.3f \n",z_real);
 printf("Mesaured position: %6.3f [diff:%.3f]\n",z_measured,fabs(z_real-z_measured));
 printf("Kalman position: %6.3f [diff:%.3f]\n",x_est,fabs(z_real - x_est));
 
 sum_error_kalman += fabs(z_real - x_est);
 sum_error_measure += fabs(z_real-z_measured);
 
 //update our last's
 P_last = P;
 x_est_last = x_est;
 }
 
 printf("Total error if using raw measured: %f\n",sum_error_measure);
 printf("Total error if using kalman filter: %f\n",sum_error_kalman);
 printf("Reduction in error: %d%% \n",100-(int)((sum_error_kalman/sum_error_measure)*100));
 
 
 return 0;
}
</div>

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