TY - GEN
T1 - Accuracy and consistency in estimation and fusion over long-haul sensor networks
AU - Liu, Qiang
AU - Wang, Xin
AU - Rao, Nageswara S.V.
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/9/14
Y1 - 2015/9/14
N2 - Long-haul sensor networks can be found in many real-world applications, such as tracking and/or monitoring of one or more dynamic targets in space. In such networks, sensors are remotely deployed over a large geographical area, whereas a remote fusion center fuses the information provided by these sensors in order to improve the accuracy of the final estimates of certain target characteristics. We consider the accuracy as well as consistency of information measures such as the error covariance matrices used to describe the theoretical error performance of sensor and fuser estimates. In particular, the impact of filtering and fusion, communication loss and delay, sensor bias, and information feedback on the accuracy and consistency of error measures is investigated by means of studying a maneuvering target tracking application.
AB - Long-haul sensor networks can be found in many real-world applications, such as tracking and/or monitoring of one or more dynamic targets in space. In such networks, sensors are remotely deployed over a large geographical area, whereas a remote fusion center fuses the information provided by these sensors in order to improve the accuracy of the final estimates of certain target characteristics. We consider the accuracy as well as consistency of information measures such as the error covariance matrices used to describe the theoretical error performance of sensor and fuser estimates. In particular, the impact of filtering and fusion, communication loss and delay, sensor bias, and information feedback on the accuracy and consistency of error measures is investigated by means of studying a maneuvering target tracking application.
KW - Long-haul sensor networks
KW - error covariance matrices
KW - estimation bias
KW - information consistency
KW - information feedback
KW - reporting deadline
KW - root-mean-square-error (RMSE) performance
KW - state estimate fusion
UR - https://www.scopus.com/pages/publications/84960473458
M3 - Conference contribution
AN - SCOPUS:84960473458
T3 - 2015 18th International Conference on Information Fusion, Fusion 2015
SP - 468
EP - 475
BT - 2015 18th International Conference on Information Fusion, Fusion 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 18th International Conference on Information Fusion, Fusion 2015
Y2 - 6 July 2015 through 9 July 2015
ER -