An Improved Multi-Radar Track Weighted Data Fusion Algorithm
Shuanghu Qiao, Yunsheng Fan, H. Zhang · 2023
To improve the anti-jamming capability of multi-radar systems in complex marine environments, a comprehensive adaptive weighted data fusion algorithm based on multi-radar is proposed in this paper. Firstly, the algorithm develops an improved nearest neighbor outlier suppression method to measure the degree of mutual support between multi-radar data to eliminate the outliers appearing in the radars at each moment. Secondly, the previous first and the current measurements are fused as the new measurement data by assigning the corresponding weight to them based on the intrinsic relationship that exists between the previous first measurement and the current measurement and the specific fusion principles. Finally, an adaptive weighting fusion method is used to fuse the multi-sensor data. The simulation results show that the proposed algorithm has higher fusion accuracy than the existing algorithms.