Performance Simulation of Recognition of Radar Target Range Profiles based on BP Neural Network
LI Shao-hong · Modern Radar · 2008
A simulation model of classifying high resolution radar range profiles by BP neural network is presented.The training algorithms,data preprocessing methods and the parameter design of the neural network were main factors which affect the recognition performance.The range profiles are obtained by step-frequency technique using two-dimensional backscatters distribu- tion data of four different scaled aircraft models.Simulations were carried out to evaluate the classification performance with range profiles measured from different aspect angle.The superior performance of the R_PROP(resilient propagation} algorithm and SARPROP(simulated annealing resilient propagation } algorithm over other training algorithms is demonstrated by computer simula- tions.Furthermore,It is shown that logarithm transform is an effective preprocessing method.