Data fusion over network

A new networked multi-sensor data fusion method which is based on Federated Filter is developed in this paper. The original system is far away form Data Processing Center (DPC), and measurements transmitted to DPC through network are used to produce a estimation of the measurement signal and Federated Filter is utilized to improve its accuracy. Due to the possible existence of both packet losses and network delay, it is necessary to check whether the Filter is stable, and consider how to process the delay data. Some sufficient conditions are presented for Kalman filter based Location Filters (LF) in the Federated Filter are stable, and a new method to process the delay data is developed here. Finally, an experiment is designed to show the effectiveness of the proposed scheme.