基于分数阶傅里叶变换的无线电引信信号的侦察

Radio Fuze Signal Reconnaissance Based on Fractional Fourier Transform

该文首先论证了分数阶傅里叶变换侦察线性调频信号的理论基础,指出由于分数阶傅里叶变换是线性变换,克服了双线性变换带来的交叉项干扰,因此在复杂的电子对抗环境中具有更好的检测效果。接着提出了一种可变窗谱峰搜索算法。仿真结果验证了算法的有效性。

In this paper, LFM signal reconnaissance theory based on fractional Fourier transform is discussed firstly. Compared with bilinear transform, the fractional Fourier transform is a linear operator and it can eliminate the intercross terms. Hence, it has better detection capability in severe electronic warfare environment. And then variable window search peak algorithm is presented. The simulation results validate the effectiveness of this algorithm.