Data Processing Of Radar Antenna Surface Measurement

The thesis mainly resolves the problem of data processing which come from the measurement results of the erected radar antenna surface. The chief principle is based on the front intersection measurement aided by two electric theodolite. The laser emitter casts light ,spots on the antenna surface and gets the 3D coordinates of the sample data. Then, the surface precision of the antenna can be obtained by corresponding data processing. The distortion resulting from antenna's deadweight results that the fact surface departures the theoretical surface regularly. At the same time, because of moulding and weld fault, the measurement data departures the theoretical surface randomly.The process of the data processing is composed of three steps. The first step is the spatial coordinate conversion , which converts the measurement data from the measurement coordinate system to the theoretical coordinate system. The next step is to work out the systematic distortion errors of the antenna surface. The last step is to found the antenna surface model based upon neural network , then we can get random errors of the measurement data and take the MSE ( Mean Square Errors) as the standard errors of the random errors by statistical method. At last, the surface errors of the radar antenna surface can be achieved.To sum up, we can say the method of data processing is practical by comparison the results with ones obtained from the horizontal antenna surface.