State estimation of packet loss network based on dimension compression of measurement information

Abstract

Abstract With packet loss, this paper proposes a method to compress the dimension of measurement information obtained by the sensor which is distributed in the wireless sensor network with single sensor and single communication link. Based on the minimum mean square error criterion, the state estimation method under the condition of dimension compression of measurement information is designed by using the improved Kalman filter when measurement noise and system noise are correlated. And the convergence condition of the estimation algorithm is analyzed. The simulation platform of matlab is used to verify the proposed estimation method. It is proved that the estimation accuracy of the measured physical quantity can be improved by using the dimension compression of measurement information estimation method, so as to improve the reliability of the whole network system.