| Netted radar can effectively improve the detection ability of radar,which makes the searching,tracking,measurement and recognition of targets more precisely.Because of the single environment and enormous cost of radar experiment carried out outdoor,establishing the mathematical model of the netted radar multi-granularity simulation system,which can effectively alleviate the contradiction between operation efficiency and experimental requirements.With the improvement of radar model complexity and simulation fidelity requirements,the existing radar simulation models are difficult to meet the requirements of networking detection in all scenarios.Research on multi-granularity modeling is in urgent need of development.In addition,establishing a friendly interactive interface of the visual platform for the all-digital radar simulation system plays an irreplaceable role for the operators to quickly get familiar with and control the workflow of the radar system.Firstly,the multi-granularity radar system modeling scheme and the netted radar systems scheme with different granularity for detection is put forward in this thesis.The workflow of the radar system simulation platform and the multi-granularity modeling by aggregation method and the netted multi-granularity system framework based on HLA framework is designed.Secondly,from the angles of signal simulation,module function and target detection,the radar is modeled at signal level,subsystem level and function level.The signal level model reproduces the complete workflow of radar.The high fidelity of the model is ensured by the echo signals simulated based on sampling points.Subsystem level is the aggregation of signal level according to the homogeneity of functions.The aggregation principle and prior knowledge are used to simplify the composition of the model,and the correctness of the model is proved.The functional level model is composed of signal level and subsystem level,which adopts the data and supporting parameters provided by both.The radar target detection function is realized with processing gain and signal power.Thirdly,the netted radar system is established in this thesis.The detection results of each radar are converted into the fusion center coordinate system through space-time registration.The detection data are fused by the method of serial merging,which realizes the joint detection of targets by multiple radars in netted system,which improves the detection data rate and track accuracy,and expands the power coverage of networked radars.Finally,based on the overall workflow of radar system,three kinds of granularity radar simulation systems and man-machine friendly interactive interface based on QT4.7.1 are established by using VS2008 and MATLAB.A reasonable situation is constructed for simulation.The consistency of functions and results among radar models with different granularity is proved,and the adaptation degree of radar systems with different granularity in networking is analyzed.Software multi-granularity radar system simulation platform is realized in this thesis.The model consistency between multi-granularity systems is discussed,and the comparison results between networked cooperative detection and single machine working efficiency are given.The adaptation degree of different granularity radar systems in netted detection is studied,and it's found that the functional level with both detection function and real-time performance is most suitable for the netted radar systems.This thesis focuses on the modeling and simulation of radar systems with different granularity and the establishment of simulation platform for cooperative detection of networked systems,which is helpful to the simulation research of multi-granularity radar systems,and provides certain reference value for the application and development of simulation models with different granularity in netted radar systems. |
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