Study On Blind Scout Technology For Communication Counterwork Based On HHT

With the development of communication technology, signal modulation ways are retreading ceaselessly, traditional scout and interference systems are difficult to deal with the problem. In the situation, the concept of blind scout and interference is forwarded with the purpose of establishing a set of theories for all the signals.With the leading concept of blind scout and interference, the system is designed which is comprised of two parts:feature distilling and matching. In feature matching subsystem, Hilbert-Huang transformation is applied to calculating instantaneous amplitude and frequency vector. As the large quantity of data for instantaneous feature vector, piecewise linear representation compressing algorithm is implemented to reduce the quantity of data for instantaneous vector, and saving the signal information to the largest extent. The feature matching system makes the resembling matching with Radial Basis Function neural network for the received signals back and forward, calculating the resemblance parameter to reconstruct signals and interfere the enemy. The computer simulation shows that feature compressing fits the original curve with small error and matching algorithm can distinguish the cases of same parameters and small difference in the modulated frequency from other cases. Finally, Hilbert-Huang transformation is applied to the classification of MFSK, separation and parameter estimation of LFM mixture. Simulation shows that the result of MFSK classification is desirable in some ratio of signal to noise, and LFM signal separation and parameter are of high exactness.