A study on intermittent duffing array detection and multi-intermittent duffing array feature fusion

The conventional Duffing chaotic detection system uses the system jump excited by the same frequency signal to detect. The actual target signal frequency will occur frequency offset. The conventional Duffing chaotic detection system based on fixed frequency detection is difficult to meet the practical application requirements. Variable scale intermittent Duffing chaotic detection system can realize target signal detection with frequency offset. According to the driving frequency, the signal to be measured is transformed by variable scale, and the target detection is realized by matching the detection system. The intermittent frequency difference of intermittent Duffing chaotic detection system is an important parameter for the application of intermittent chaos. The optimization of interval frequency difference range determines the detection performance of intermittent Duffing chaotic detection system. In order to improve the detection performance of intermittent chaotic system, this paper focuses on the relationship between the amplitude of the output signal and the normalized intermittent frequency difference under specific SNR and the relationship between the detection performance of the system and the normalized intermittent frequency difference under different SNR. Through the evaluation and comparison analysis, the amplitude of the system output signal decreases with the increase of the intermittent chaotic frequency difference. The amplitude of the output signal of the system generally decreases with the decrease of SNR. The intermittent Duffing chaotic system exhibits sensitivity to weak line spectrum signals in a certain range of intermittent frequency difference. The same frequency point of the stable output of the multiple intermittent Duffing array is the weak line spectrum information of the target to be measured. Through the feature fusion processing of the multi-intermittent Duffing array detection results, the target feature information of interference elimination after feature fusion is obtained. In order to analyze the detection performance of the multi-intermittent Duffing array system, by comparing with the short-time Fourier method, the intermittent Duffing array detection system has better frequency resolution and lower feature detection threshold.