Flexible fusion structure for air task networks

For the UAV(unmanned aerial vehicle) air task networks, a new kind of flexible fusion structure method is proposed to improve the flexibility of data processing of the target tracking fusion system in this paper. When the system performance parameters are affected by the internal or external causes to be changed, this flexible structure method can auto-adjust the allocation of system resources to achieve the optimal results of target tracking task. Firstly, the performance evaluation of the target tracking system is analyzed. Secondly, the advantages of the new method and the applying process of it are explained. And finally, based on the models of system resources, such as sensors, data communication bandwidth and system processors, we compare the advantages and disadvantages of the flexible fusion structure with that of the fixed fusion structure. Some analytical results show that the flexible fusion structure is efficient.