短波信号检测中的形态学预处理算法

Morphology Pre-processing Algorithm in Short Wave Signal Detection

针对信号检测中色噪声干扰和多谱峰信号的判断问题,通过研究实际短波信道特性和信号频谱特征,提出一种将频谱作为一维灰度图像进行形态学滤波的预处理算法,应用顶帽变换进行白化滤波,通过闭运算进行信号增强。仿真实验结果表明,该算法能在复杂的短波信道环境下较好地抑制色噪声干扰,实现对弱信号和多谱峰信号的有效检测。

Aiming at the problems of colored noise interruption and multi-spectral peak signals judgment in signal detection, this paper proposes a pre-processing algorithm for signal detection based on morphology, which treats the spectrum as one-dimensional gray-scale image. With regard to character of short wave channel and signal spectrum, it whitens colored noise by employing Top-Hat transform, and enhances signals by applying closing operation. Simulation experimental results show that colored noise can be suppressed, and weak signals and multi-spectral peak signals are reliably detected in complicated short wave channel environment.