Yadong Wang
ABSTRACT
Waveform design plays a key role in the application of multiple-input multiple-output (MIMO) radar, radar anti-jamming, cluster system detection and reduction of radar signal interception probability. In this paper, a memristor neural network dynamic system is constructed based on the function fitting characteristics of the neural network, and the parameters of the dynamic system are optimized for the application characteristics of the waveform to generate an arbitrary sequence that meets the design conditions. The dynamic behavior and output waveform characteristics of the dynamic system constructed by the memristor neural network are analyzed, and compare the dynamic system construction method based on Taylor expansion function fitting characteristics. The results show the advantages of the proposed method in the aspects of algorithm complexity, computation and chaos.
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