摘要
卫星通信信号通常较为复杂,表现为多个信号的混合,但其一般有着自己的特定频段、带宽与时隙等特征,时频域联合分析方法是一种有效的信号检测手段,针对不同信号有着不同的方法与特点。为了有效检测到每一个信号,根据DVBS2卫星通信信号的特点,设计两种时频域分析方法--小波变换与Winger-Ville分布,随后利用图像处理方法如分割与增强、形态学处理与模板匹配等方法完成信号的检测功能,实现信号的可视化检测与结果的输出。与传统的能量检测只能单维度的进行检测相比,该方法可直接对信号进行二维检测,具有较高的利用价值。
In order to detect each signal effectively,this paper designs two time-frequency analysis methods,including wavelet transform and Winger-Ville distribution according to the characteristics of DVB-S2 satellite communication signals,and then uses image processing methods such as segmentation and enhancement,morphological processing and the template matching to complete the signal detection function,which realize the visual detection of the signal and the output of the result.Compared with the traditional energy detection which can only be detected in one dimension,this method can directly detect the signal in two dimensions,which has higher utilization value.
出处
《工业控制计算机》
2020年第6期91-94,共4页
Industrial Control Computer
