The Research Of Echo Enhancement Simulation Algorithm For Coastal Radar

Coastal radar systems play an important role in national defense safety.The daily training of radars can affect the life of the radar,and the simulation system of maritime radar has emerged.During radar search and surveillance,if a region's target echo is weak or too concentrated,it can not be easily distinguished by adding clutter in the surrounding environment and internal noise interference in the radar.But a detailed look at it for details.Therefore,the echo amplification simulation algorithm is very necessary.In this paper,the simulation of echo amplification is the core of the research.Firstly,the formation of the echo is analyzed.Analyzes the adaptive range and influencing factors of the existing sea clutter distribution models,among them,the amplitude distribution characteristics of sea clutter are described by four kinds of probability density distributions,and then the temporal and spatial correlations of sea clutter and the fractal characteristics of sea clutter are analyzed;Then the edge of the observation area is detected according to the fractal characteristic parameters,and a bilinear interpolation method is used for the area enlargement.A support vector machine interpolation method is used for the edge region.Particle swarm optimization(PSO)is used to optimize the parameters of the SVM.Then,the optimal support vector machine(SVM)is used to estimate the brightness of the interpolation points in the selected edge region.Finally,the design idea and the method of amplifying the echo region in the simulation system of the coastal radar are introduced,and applied to the radar module to show the renderings.The result proves that the echo amplification simulation algorithm has a good amplification effect on the observation area and effectively eliminates the jagged and fuzzy problems at the edge of the area.For the target detection and tracking provided a powerful help.