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基于形态滤波的短波信号检测算法
引用本文:王 权,江 桦,陈含欣.基于形态滤波的短波信号检测算法[J].太赫兹科学与电子信息学报,2011,9(6):733-738.
作者姓名:王 权  江 桦  陈含欣
作者单位:解放军信息工程学院;
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%。

关 键 词:短波信号检测  形态学滤波  顶帽变换  预处理
收稿时间:2011/1/12 0:00:00
修稿时间:2011/2/21 0:00:00

An HF signal detection algorithm based on morphological filtering
WANG Quan,JIANG Hua and CHEN Han-xin.An HF signal detection algorithm based on morphological filtering[J].Journal of Terahertz Science and Electronic Information Technology,2011,9(6):733-738.
Authors:WANG Quan  JIANG Hua and CHEN Han-xin
Affiliation:WANG Quan,JIANG Hua,CHEN Han-xin(PLA Information Technology Institute,Zhengzhou Henan 450002,China)
Abstract: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.Simulati...
Keywords:detection of HF signal  morphological filtering  Top-Hat transform  preprocessing  
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