摘要
根据卫星导航系统干扰识别特点与高阶累积量对高斯噪声的抑制作用,提出了一种基于干扰四阶及六阶累积量的特征识别算法,分析了在不同干噪比下不同干扰信号的特征区间分布。根据在相同识别特征下不同干扰信号的分离度,设计了一种基于高阶累积量的树形干扰识别分类器。仿真试验结果表明,当干噪比达到5dB时,识别分类器对9种干扰信号的识别率均达到100%,并且受干噪比变化影响较小,试验验证了其良好的分类识别性能。
Based on the study on the feature of satellite navigation interference recognition and the higher- order cumulants＇ suppression effect to Gaussian noise, a feature recognition algorithm using 4th-order ＆ 6th- order cumulants is proposed, and the eigen-interval distribution under the condition of different jamming noise ratios ＆ different jamming signals are analysed. According to the separability of different jamming signals under the same recognition feature, a tree-like classifier using higher-order cumulants is designed. The experiments show that the classifier possesses 100% correct recognition rate to 9 jamming signals when the jamming noise ratio is 5 dB, and the results change little under different jamming noise ratios. The tree-like jamming classifier has good recognition performance.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2014年第2期234-238,共5页
Systems Engineering and Electronics
基金
"十二五"国家科技支撑计划(2011BAH24B04)资助课题
关键词
卫星导航
高阶累积量
干扰识别
特征参数
satellite navigation； higher-order cumulant； interference reeognition； feature parameter
