In order to make the effective ECCM to the deceptive jamming, especially the angle deceptive jamming, this paper establishes a signal-processing model for anti-deceptive jamming firstly, in which two feature-extracting algorithms, i.e. the statistical algorithm and the neural network (NN) algorithm are presented, then uses the RBF NN as the classifier in the processing model. Finally the two algorithms are validated and compared through some simulations.