TY - GEN
T1 - Distributed State Estimation for Heterogeneous Mobile Sensor Networks with Varying Nodes
AU - Yu, Yingrong
AU - Ren, Jie
AU - Dong, Xiwang
AU - Li, Qingdong
N1 - Publisher Copyright:
© 2020 Technical Committee on Control Theory, Chinese Association of Automation.
PY - 2020/7
Y1 - 2020/7
N2 - On background of cooperative air combat, state estimation of aerial maneuvering target with multi-sensor cooperative reconnaissance is discussed in this paper. Multiple moving platforms equipped with different kinds of detectors construct heterogeneous mobile sensor networks. Graph theory is adopted to describe the communication topology of the networks. In consideration of detection range limit, the number of sensors participating in the detection changes over time. An interactive multiple model algorithm (IMM) is utilized for target motion modeling. The local observation information is processed by Cubature Information Filter (CIF). A weighted average consensus-based state estimation method for heterogeneous mobile sensor networks with varying nodes is put forward to fuse information from different sensors and obtain a consistent and precise tracking result. Moreover, the stability analysis of proposed method is provided detailed. Finally, numerical simulation results are given to illustrate the effectiveness of the theoretical results.
AB - On background of cooperative air combat, state estimation of aerial maneuvering target with multi-sensor cooperative reconnaissance is discussed in this paper. Multiple moving platforms equipped with different kinds of detectors construct heterogeneous mobile sensor networks. Graph theory is adopted to describe the communication topology of the networks. In consideration of detection range limit, the number of sensors participating in the detection changes over time. An interactive multiple model algorithm (IMM) is utilized for target motion modeling. The local observation information is processed by Cubature Information Filter (CIF). A weighted average consensus-based state estimation method for heterogeneous mobile sensor networks with varying nodes is put forward to fuse information from different sensors and obtain a consistent and precise tracking result. Moreover, the stability analysis of proposed method is provided detailed. Finally, numerical simulation results are given to illustrate the effectiveness of the theoretical results.
KW - Cubature Information Filter
KW - consensus theory
KW - distributed state estimation
KW - mobile sensor networks
KW - stochastic boundedness
UR - https://www.scopus.com/pages/publications/85091397911
U2 - 10.23919/CCC50068.2020.9189451
DO - 10.23919/CCC50068.2020.9189451
M3 - 会议稿件
AN - SCOPUS:85091397911
T3 - Chinese Control Conference, CCC
SP - 3129
EP - 3134
BT - Proceedings of the 39th Chinese Control Conference, CCC 2020
A2 - Fu, Jun
A2 - Sun, Jian
PB - IEEE Computer Society
T2 - 39th Chinese Control Conference, CCC 2020
Y2 - 27 July 2020 through 29 July 2020
ER -