Radar Targets Recognition Using S Transform
BI Du-yan · Jisuanji fangzhen · 2008
A new approach to the time-frequency signal analysis was proposed, using the S transform method, the time-frequency representation that could produce a distribution equal or close to a sum of the Wigner distributions of individual signal components. The new time-frequency signal decomposition method was evaluated on the simulated data using finite difference time domain (FDTD). A new approach of feature extraction was proposed based on singular values of the S transform time-frequency matrix. The RBFNN was employed as the classifier. Results demonstrate that it provides an effective way for radar automatic target recognition. The proposed method could also be used in other signal processing applications.