According to the characteristics of communication signals

a modified genetic algorithm

which can apply to signal feature selection is proposed.This method determines the excellent the gene pool

which can reflect differences of signal modulation.In the genetic process

the steps of selection and elimination cause size change of excellent gene pool.In the genetic process

with the environment changes

crossover and mutation probability of each generation to self-adaptive changes is ensured in the steps.The high quality feature subsets are determined.The RBF neural network classifier is combined to get better recognition result.The simulation results show that the novel algorithm not only has robustness and convergence in solving global problem

but also has faster convergence speed and more stronger or global convergence.