TY - GEN
T1 - Estimation fusion with data-driven communication
AU - Bian, Xiaolei
AU - Rong Li, X.
N1 - Publisher Copyright:
© 2017 International Society of Information Fusion (ISIF).
PY - 2017/8/11
Y1 - 2017/8/11
N2 - This paper deals with the problem of estimating the state of a discrete-time stochastic linear system based on data collected from multiple sensors with limited communication resources. For the cases of transmitting measurements and local state estimates, respectively, we design data-driven communication schemes based on a normalized innovation vector and corresponding fusion rules in the (approximate) minimum mean square error (MMSE) sense. These communication schemes can achieve a trade-off between communication costs and estimation performance. These fusion rules can allow the estimator to improve its estimate based on the fact that no transmission of data indicates a small innovation. A simulation example is provided to confirm the effectiveness of the proposed strategies.
AB - This paper deals with the problem of estimating the state of a discrete-time stochastic linear system based on data collected from multiple sensors with limited communication resources. For the cases of transmitting measurements and local state estimates, respectively, we design data-driven communication schemes based on a normalized innovation vector and corresponding fusion rules in the (approximate) minimum mean square error (MMSE) sense. These communication schemes can achieve a trade-off between communication costs and estimation performance. These fusion rules can allow the estimator to improve its estimate based on the fact that no transmission of data indicates a small innovation. A simulation example is provided to confirm the effectiveness of the proposed strategies.
UR - https://www.scopus.com/pages/publications/85029415111
U2 - 10.23919/ICIF.2017.8009818
DO - 10.23919/ICIF.2017.8009818
M3 - 会议稿件
AN - SCOPUS:85029415111
T3 - 20th International Conference on Information Fusion, Fusion 2017 - Proceedings
BT - 20th International Conference on Information Fusion, Fusion 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th International Conference on Information Fusion, Fusion 2017
Y2 - 10 July 2017 through 13 July 2017
ER -