A Distributed sequential fusion algorithm over asynchronous sensor networks
- Resource Type
- Conference
- Authors
- Chu, Tianpeng; Li, Yinya; Qi, Guoqing; Sheng, Andong
- Source
- 2016 IEEE 13th International Conference on Networking, Sensing, and Control (ICNSC) Networking, Sensing, and Control (ICNSC), 2016 IEEE 13th International Conference on. :1-5 Apr, 2016
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Covariance matrices
Estimation
Noise measurement
Kalman filters
Gaussian noise
Current measurement
Heuristic algorithms
- Language
A distributed sequential fusion algorithm for decentralized asynchronous sensor networks is presented in this paper. Our distributed asynchronous sequential fusion algorithm can be divided into a local estimator and a fusion estimator. The local estimator utilize the local measurements to generate a local fusion estimates. And the local fusion estimates are fused by the fusion estimator to improve the local estimation performance. The proposed algorithm is operational for sensor networks with arbitrarily sampling rates and initial sampling time instants. The effectiveness of the proposed algorithm is validated by simulation results.