The Investigation To Kalman Filter In Radar Target Tracking Arithmetic

This dissertation sets forth a lot to radar data' gaining and tracking, and characterizes several usually ways in filer arithmetic . This dissertation advances some problems in radar target tracking arithmetic. Through analyzing the kalman filter's capability and character ,Uniting with port supervising radar' fact, this dissertation makes MATLAB experiment to state yawp covariance matrix' infection to filter resultant, dvances a way of optimizing radar precision , strengthening tracking stabilization ,and quickening constringency speed based on changing state yawp covariance matrix. This dissertation also makes MATLAB experiment to experiment the way in this dissertation having advanced . Singer model which includes linearity and nonlinearity model are used in this dissertation to design kalman filter. At last , the dissertation advances that make linearity and nonlinearity model parallel connected, and get the filer result which having the advantages of linearity and nonlinearity model. Through MATLAB experiment, we can see that the way in this dissertation is effective, and it can achieve our expective goal especially quickening constringency speed .This dissertation demonstrate the way of choosing the plus matrixes to predigesting radar tracking arithmetic, and making MATLAB experiment. We can draw the conclusion that the way can predigests radar tracking arithmetic, and we also see that it has it own restrict because of its characters.