高斯噪声下跳频信号的提取与噪声抑制

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。

Extraction and Denoising of Frequency Hopping Signals under Gaussian Noise

This paper proposes a method for extracting frequency hopping signals in Gaussian noise environment. It combines generalized S Transform (GST) with Short-time Fourier Transform (STFT), uses morphological processing technique to smooth and sharp this two time-frequency spectrograms,respectively. Then the multiplying product of these two results are taken into account, and a time-frequency filter operator is designed to denoising and enhancing frequency hopping signals so as to get a high resolution and robus...