Research And Application Of Data Filtering Of High Level Architecture

With the development of computer technology, especially of network technology, the scale of simulation system has become larger and larger, which has caused the higher demands with interoperation, reusability and extensibility, especially with performance and efficiency of a simulation system. However the conventional DIS is not able to meet the demands. High Level Architecture (HLA), which provides a general technical infrastructure and an open standard for the modeling and the distributed simulation, represents the newest development direction of the distributed simulation.The simulation of complex systems is commonly constructed based on the network. Moreover, the simulation systems must be easily scalable. That is to say, The consuming of computing and communicating resources will not affect the simulation systems' running as the expanding of the systems' scale. In RTI, DDM is specially designed to filter data. DDM transmits the data according to the supply and demand relation among simulation entities. It can largely reduce data traffic, and reduce the spending on data processing at the same time.This thesis is main to divide three part, the first part was detailed to introduce the HLA foundation knowledge; The second part introduce introduces the data to filter two kinds of methods of mechanism, and make use of the software of pRTI of the X-rated edition that company of Pitch provide to filtered the mechanism to do the experiment to these two kinds of data. The third part inquiries into two kinds of DDM data of classic to filter the method, and put forward a kind of hybrid filtering method, that method can reduce the allotment of multicast and it matches the calculation, the performance efficiency that the exaltation data filter.