Implementation Of Simulation System Based On Rf Stealth And Design Of Target Tracking And Classification

It is generally known that the aircraft RF stealth technology is more and more important in air combat. This dissertation establishes a RF stealth simulation environment of multi-aircraft platform. The system would provide an important way for the research of the aircraft RF stealth capability and evaluation of the battle performance. This dissertation bases on an advanced simulation theory and application technology to research a series of key technologies, including the integrated design of RF stealth simulation environment, software development, the implementation of multi-platform cooperative distributed simulation system and so on. Meanwhile, this dissertation researches the distributed multi-source multi-target tracking and recognition algorithm based credal classification on the basis of the multi-platform cooperative distributed simulation ideas. In order to achieve stealth effect, this dissertation also researches the adaptive hierarchical optimization algorithm of the airborne radar scanning interval.In summary, the main contents and innovations of this dissertation are listed as follows:1. This dissertation describes the development of a distributed multi-platform simulation system which combines the High Level Architecture technology and advanced simulation platform(including Satellite Toolkit and Vega software). The key technologies of the system are analyzed. HLA technology plays the central role in combining all the simulation nodes as a whole system. In addition, Vega and STK technology realize the computer virtual simulation of each node.2. This dissertation studies the design and implementation of distributed multi-platform RF stealth simulation system. In the system design and implementation process, a conceptual model of distributed interactive simulation system is developed using a standard interface of HLA software, BH-RTI 2.3, as the development environment. According to the federation development and execution process, we create the federal object model/simulation object model, build the system federation executable file, realize the underlying communication data interactive process between multi-platform simulation nodes and realize the system control node, child nodes monitor and simulation state records. In addition, we get the hypothetical and complex real time simulation environment by the advanced satellite software toolkit. At last, we use the Vega technology to restore the simulation data into the real-time and realistic virtual scenes.3. The algorithms of distributed multi-sensor multi-target tracking and recognition are studied based on credal function. In the targets tracking phase, each sensor node utilizes interacting multiple model algorithm to predict and update the target state locally. In the update phase, the track correlation is resolved by generalized global nearest neighbor algorithm. In the classification and recognition phase, the existing prior aircraft type, the motion model of the targets and the local target quality function can be used to compute the local target quality function. Then, all the sensors’ local target quality functions are fused to get the global classification information of the targets.4. A method of hierarchical sampling interval is adaptively selected based on interacting multiple models tracking algorithm and covariance control method. Desired tracking accuracy is set for every target, and then the algorithm selects the largest sampling interval from the interval sequence. Simulation results show the method improves tracking efficiency of the phased array radar.