Detection and simulation of quasi random frequency hopping signal based on interference analysis algorithm

With the rapid development of information technology, information war is becoming more and more intense. Signal processing plays an increasingly important role in information war, and the application of this technology is becoming more and more extensive. The information signal processed by the traditional frequency hopping communication system is relatively single. When there are a variety of electromagnetic signals, the communication channel environment is complex and there will be signal interference. Therefore, this paper studies the detection, identification, and experimental simulation of quasi-frequency hopping signal under multi-fixed frequency interference. Firstly, this paper uses the short-time Fourier transform and Wigner–Ville time–frequency analysis method to identify and simulate the interference signal of multi-fixed frequency interference. Then, according to the working principle of genetic algorithm, the design steps of radio high frequency (RHF) signal are designed, the signal model is constructed, and the narrowband interference suppression strategy is proposed to suppress the fixed frequency interference signal. According to the simulation of this model in this paper, the suppression effect of time–frequency domain and joint method is more obvious than that of traditional time–frequency domain. If the fixed frequency interference signal only covers a small part or does not cover the quasi random frequency hopping signal, the signal suppression effect of using time–frequency domain to filter the interference signal is better than using non-decimation wavelet packet transform algorithm, and there will be no error impact on the original signal when completely using time–frequency domain to filter the signal. Finally, this paper combines the interference analysis algorithm in time domain and time frequency domain and carries on the simulation analysis. Through the application simulation of multi-target scene, the results show that the complementary code modulation method can estimate the distance and velocity parameters in multi-target scene. Although the velocity measurement range is narrow, this method has the advantages of high velocity measurement accuracy, higher output signal-to-noise ratio and lower computational complexity.