摘要： 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。

关键词: 信号检测, 形态学, 色噪声抑制, 多谱峰信号

Abstract: 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.

Key words: signal detection, morphology, colored noise suppressing, multi-spectral peak signal

中图分类号: 

• TN971