TY - GEN
T1 - On sequential Kalman filtering with scheduled measurements
AU - Wang, Gang
AU - Chen, Jie
AU - Sun, Jian
PY - 2013
Y1 - 2013
N2 - The stability problem of Kalman filtering for linear stochastic systems with scheduled measurements in [1] is reconsidered in this paper. The transmission of a vector observation from the sensor to the remote estimator is realized by sequentially transmitting each component of the observation to the estimator in one time step. The communication of each component is triggered if and only if the corresponding component of normalized measurement innovation vector is larger than a given threshold. As a complementary to [1], we extend the measurement data scheduler to have different thresholds assigned to different components of the normalized measurement innovation vector and similarly derive the sequential Kalman filter. Moreover, the sufficient and necessary conditions for guaranteeing the stability of mean squared estimation error are established for general linear systems by explicitly investigating the convergence properties of a specially constructed axillary function.
AB - The stability problem of Kalman filtering for linear stochastic systems with scheduled measurements in [1] is reconsidered in this paper. The transmission of a vector observation from the sensor to the remote estimator is realized by sequentially transmitting each component of the observation to the estimator in one time step. The communication of each component is triggered if and only if the corresponding component of normalized measurement innovation vector is larger than a given threshold. As a complementary to [1], we extend the measurement data scheduler to have different thresholds assigned to different components of the normalized measurement innovation vector and similarly derive the sequential Kalman filter. Moreover, the sufficient and necessary conditions for guaranteeing the stability of mean squared estimation error are established for general linear systems by explicitly investigating the convergence properties of a specially constructed axillary function.
KW - Sequential Kalman filtering
KW - linear stochastic systems
KW - scheduled measurements
KW - stability
KW - wireless sensor networks
UR - http://www.scopus.com/inward/record.url?scp=84893933696&partnerID=8YFLogxK
U2 - 10.1109/CYBER.2013.6705488
DO - 10.1109/CYBER.2013.6705488
M3 - Conference contribution
AN - SCOPUS:84893933696
SN - 9781479906109
T3 - 2013 IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2013
SP - 450
EP - 455
BT - 2013 IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2013
T2 - 3rd Annual IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, IEEE-CYBER 2013
Y2 - 26 May 2013 through 29 May 2013
ER -