Data Fusion Applied Research, Track Data Processing

Multisensor data fusion technique is a data processing technique, which data of multi-class, multi-resources and multi-platform sensor are combined with, and which provides the integrated situation of correlative environment. It has been widely concerned due to its implementation of complementary information, improvement of target tracking and enhancement of system viability. This paper studies the applications of multisensor data fusion in a missile weapon system on the background of one project.Firstly, this paper introduces the corresponding technique of data fusion, and then the angle of video tracker with high accuracy is fused with the range of radar with high accuracy. With the simulation of constant speed tracking and maneuverable tracking, it concludes that the precision of sequential filtering, parallel filtering and optimal data compressed filtering is better than the one of sole radar tracking. Consequently the paper suggests that the system should choose the optimal data compressed filtering.Secondly, after the video tracker tracks a target down in the link of target indication, this paper determines automatically whether the measurement of video tracker and the one of radar are derived from the same target or not by setting a region. After that, the original method has been improved.At last, data from two radars are fused, based on PDA. By simulating that, the paper comes to the following conclusion, this method can track target normally, and it has also proved the validity of the method. Thus, the data fusion among ships has been studied primarily.