Target recognition based on radial basis function network

A method of radar target recognition by range profiles is developed, based on the radial basis function network (RBFN). The problem of producing suitable patterns for recognition is discussed. Then a heuristic clustering algorithm for training RBFN is proposed. It is shown, from theoretical analysis and experimental results of rotating platform imaging based on experimental data acquired in a microwave anechoic chamber, that target recognition based on range profile is promising in application of ATR system.