电讯技术Issue(8)：842-847,6.DOI:10.3969/j.issn.1001-893x.2015.08.003
采用图像处理的跳频信号参数盲估计
Blind Parameter Estimation of Frequency Hopping Signals by Image Processing
摘要
Abstract
In order to estimate the parameters of the frequency hopping( FH) signals in complex high fre-quency environment,a blind parameter estimation method based on texture feature is proposed. In the algo-rithm the received signals are represented as time-frequency diagram, and texture features are extracted from the time-frequency diagram by using gray level co-occurrence matrix( GLCM) . Then the background noise can be removed through the separation of texture features,and the salt-and-pepper noise after binari-zation is eliminated by morphological filtering. Then this algorithm labels all the connected components in the time-frequency diagram to get their location information,and removes the frequency-fixed and burst in-terference by means of clustering,so the FH signals can be sorted out. After that the edge information is abstracted and modified to estimate the parameters such as hopping rate, hopping time and hopping fre-quency . Simulation results show that the algorithm can separate the background noise from the signals more effectively,and can estimate the parameters accurately even when the signal-to-noise ratio( SNR) is low.关键词
跳频信号/参数估计/盲估计/图像处理/纹理特征/连通区域标记Key words
frequency hopping signal/parameter estimation/blind estimation/image processing/texture fea-ture/connected component labeling分类
信息技术与安全科学引用本文复制引用
吕晨杰,王斌,王开勋..采用图像处理的跳频信号参数盲估计[J].电讯技术,2015,(8):842-847,6.基金项目
国家自然科学基金资助项目(61201381) Foundation Item:The National Natural Science Foundation of China(No.61201381) （61201381）
