Radar signal recognition algorithms based on neural network and grey relation theory

Radar signal´s sorting and recognition is the key step in whole process of radar reconnaissance information processing. Several commonly parameters of radar signal was used and five methods were adopted to classify and recognize the radar signals, and the improved gray relation theory algorithm and the blind identification algorithms were also proposed in the paper. Simulation results show that, compared with the grey relation method, the neural networks classifier design method has better recognition effect, but the former is more simple and easy to realize. The blind recognition approach does not need advance knowledge though the recognition rate is relative lower. Therefore, it has a better application value in practice.