Research on Active Jamming Recognition Method Based on Fractional Fourier Transform

Compared with traditional jamming, sampling and repeater jamming with more similar echo characteristics are also widely used. Aiming at the problem that radar is difficult to correctly identify jamming and extract useful signals in a complex jamming environment, this paper studies a jamming recognition method based on the Fractional Fourier Transform (FRFT). This method first selects the fractional optimal rotation angle of the radar received signal through angle traversal, obtains the optimal fractional Fourier transform of the received signal, and estimates the signal parameters. Then, the fractional domain characteristic parameters which are easy to calculate and less sensitive to noise are extracted from the fractional domain results of the received signal. At last, we brought the parameters into the decision-making process of jamming recognition and simulated and verified the performance of jamming identification. The experimental results show that the algorithm can accurately identify the typical active jamming of radar.