东南大学学报（英文版）2017，Vol.33Issue(1)：1-4,4.DOI:10.3969/j.issn.1003-7985.2017.01.001
基于狼群算法的GNSS欺骗干扰识别
GNSS spoofing detection based on uncultivated wolf pack algorithm
摘要
Abstract
In order to solve the problem that the global navigation satellite system (GNSS) receivers can hardly detect the GNSS spoofing when they are deceived by a spoofer,a model-based approach for the identification of the GNSS spoofing is proposed.First,a Hammerstein model is applied to model the spoofer/GNSS transmitter and the wireless channel.Then,a novel method based on the uncultivated wolf pack algorithm (UWPA) is proposed to estimate the model parameters.Taking the estimated model parameters as a feature vector,the identification of the spoofing is realized by comparing the Euclidean distance between the feature vectors.Simulations verify the effectiveness and the robustness of the proposed method.The results show that,compared with the other identification algorithms,such as least square (LS),the iterative method and the bat-inspired algorithm (BA),although the UWPA has a little more time-complexity than the LS and the BA algorithm,it has better estimation precision of the model parameters and higher identification rate of the GNSS spoofing,even for relative low signal-to-noise ratios.关键词
全球卫星导航系统/欺骗干扰检测/系统辨识/狼群算法Key words
global navigation satellite system (GNSS)/spoofing detection/system identification/uncultivated wolf pack algorithm分类
信息技术与安全科学引用本文复制引用
孙闽红,邵章义,包建荣,余旭涛..基于狼群算法的GNSS欺骗干扰识别[J].东南大学学报（英文版）,2017,33(1):1-4,4.基金项目
The National Natural Science Foundation of China (No.61271214,61471152),the Postdoctoral Science Foundation of Jiangsu Province (No.1402023C),the Natural Science Foundation of Zhejiang Province (No.LZ14F010003). （No.61271214,61471152）
