Design Method Of Frequency-Agile Radar Frequency Hopping Sequence Based On CNN Network And Chaotic Sequence

With the development of modern radar anti-jamming technology, frequency-agile radar has developed rapidly. To counter jamming signals, the operating frequency of the frequency-agile radar transmitting pulse has strong random performance. The chaotic sequence has great random performance, and the sequence generated by the chaotic sequence also has great randomness. Therefore, this paper first generates data through the chaotic sequence and binary quantization method and uses the autocorrelation performance as the criterion, The optimal threshold corresponding to the optimal frequency hopping sequence of the same chaotic sequence is screened out. The selected random Frequency hopping point sequence with better performance has great ambiguity function performance, that is, target detection performance. First, divide the value range of the optimal threshold, use the chaotic sequence and the optimal threshold as the standard data, turn the threshold optimization problem into a pattern recognition classification problem, and use the standard data as the training set to train the neural network. In the end, the CNN network has a great classification ability can better realize the Frequency hopping point sequence generation.