Track And Track Association Based On Multi-Center Of Data Fusion

Data Fusion (DF) is the hot spot in the field of information processing research, especially in multi-object radar integrated intelligence, and DF has been concerned by States military research departments and universities. This paper also describes the functional model of DF, architecture, as well as its practical application and development prospects. Then, a more detailed discussion of DF’s algorithms, for instance coordinate transformation, time adjusting, Approximate Multi-Sensor Joint Probabilistic Data Association (AMSJPDA) and Electronic Support Measure (ESM) association. The concept of Center of Data Fusion (CDF) is put forward, and focuses on Multi-Center of Data Fusion (MCDF) for the integrated treatment of radar and Track and Track Association (TTA) technology.As the development of demand and theory, this paper brings forward the concepts of MCDF, main-center of Data Fusion, sub-center of Data Fusion. Then the paper analysis the system topology and the architecture model of MCDF, which can make the system more flexible, expanding the searching range and improving the tracking accuracy. In multi-target tracking theoretical study, more than before to discuss how to associate points and tracks, the paper will discuss TTA which is based on MCDF, with radar information and other intelligence information of integrated system to deal with as the background. TTA is divided into three steps:judgment, optimization and fusion, which corresponding to its three main algorithms:shortest distance method, comparing attribute method and track and track fusion method. Through the simulation experiments, MCDF and TTA are feasibility and effectiveness.