Application of ReliefF Algorithm in Radar Emitter Signal Recognition
Duan Meijun · Journal of Chengdu University · 2012
Features extracted by wavelet packet transform can effectively identify signals,however,feature dimension of the features is high and some characteristics are seriously polluted by the noise.Classification ability of the features was evaluated by ReliefF algorithm and features with strong classification ability in wavelet packets were picked out.Then redundant features of similar classification ability were deleted by characteristic similarity algorithm.The remaining features of strong classification ability composed eigenvectors and they would be classified.Simulation experimental results show that this method using fewer features can obtain higher right recognition rate.