Distributed Fusion State Estimation Based on Coded Measurements
Jie Lan · 2020 International Conference on Computer Engineering and Application (ICCEA) · 2020
The problem of distributed fusion state estimation for a spatially array of sensors in Network Control System (NCS) is studied. The measurement of each sensor is transmitted through a lossy chain, and the dropped packet model of each chain is independent and identically distributed. To reduce the requirement of communication bandwidth and the impact of packet loss, a compressed coding scheme is proposed, which combines the measurement of each sensor to make the transmitted information a scalar. Then, the local estimation and the local estimation error covariance in the case of packet loss are obtained. Then, the linear unbiased estimation method is used for distributed fusion state estimation. Finally, the effectiveness of the proposed scheme is confirmed by simulation.