摘要
针对短波信号检测中色噪声干扰导致信号检测概率低的问题,通过研究实际短波信道特性和信号的频谱特征,提出一种将信号频谱图作为一维灰度图像进行形态学滤波的预处理算法,应用联合形态学滤波估计信号噪声基底,利用改进的顶帽变换进行白化滤波,最后依据高斯白噪声环境下的门限估计理论进行信号检测。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,对弱信号的有效检测率可提高10%～20%。
Aiming at the problem of low signal detection probability caused by colored noise interference in signal detection, a pre-processing morphological filtering algorithm is proposed after studying the properties of the actual HF channel and the characteristics of the signal spectrum. It flattens the noise floor by morphological filtering theory and realizes whitening filter by Top-Hat transform. The signal is detected according to the threshold estimation theory under the Gaussian white noise environment. Simulation results show that the color noise interference can be suppressed under the complex environment of short-wave channel, and the detection probability of the weak signals is improved by 10%-20%.
出处
《信息与电子工程》
2011年第6期733-738,共6页
information and electronic engineering
关键词
短波信号检测
形态学滤波
顶帽变换
预处理
detection of HF signal
morphological filtering
Top-Hat transform
preprocessing
