A Weighted Fusion Algorithm for Multi-sensors

摘要

Aiming at the problem of processing of gross error and the fusion estimation only in time or space in the data fusion algorithm, a weighted fusion algorithm is proposed in this paper. Firstly, the measurement data with gross error are removed. Then, the data are fused in time and space to find the optimal weighting factor of each sensor. Finally, the optimal fused estimation value is obtained in the algorithm. The simulation results show that the proposed fusion algorithm can get more accurate real-time measurement data and can achieve high accuracy in real-time estimation of the motion state of the space target.