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本文提出了一种在高斯白噪声环境下提取跳频信号的算法,将广义S变换(GST)和短时傅立叶变换(STFT)相结合,引入形态学图像处理技术,分别对其时频谱图进行平滑和锐化,结果进行乘积合并后,设计一种针对跳频信号的时频滤波算子进一步抑制噪声,提升跳频信号,得到高分辨率稳健的时频图案。仿真实验证明该算法得到的时频图案信噪比有明显提高,时频分辨率也有很大改善。
In this paper, an algorithm for extracting frequency-hopping signals under Gaussian white noise is proposed. By combining the generalized S-transform (GST) with the short-time Fourier transform (STFT), morphological image processing is introduced, Smoothing and sharpening. After merging the products, a time-frequency filtering operator for frequency hopping signal is designed to further suppress the noise and improve the frequency hopping signal to obtain a high-resolution and robust time-frequency pattern. Simulation results show that the signal-to-noise ratio of the time-frequency pattern obtained by the algorithm is obviously improved, and the time-frequency resolution is also greatly improved.