基于主特征ICA的欺骗干扰检测识别算法  

Spoofing interference detection and recognition based on principal feature ICA

作　　者：葛红妨 沈雷[1] GE Hongfang;SHEN Lei(School of Communication Engineering,Hangzhou Dianzi University,Hangzhou Zhejiang 310018,China)

机构地区：[1]杭州电子科技大学通信工程学院,浙江杭州310018

出　　处：《杭州电子科技大学学报（自然科学版）》2022年第4期19-26,共8页Journal of Hangzhou Dianzi University：Natural Sciences

摘　　要：针对未知的欺骗干扰信号的检测识别问题,提出一种基于主特征独立分量分析(Independent Component Analysis,ICA)的欺骗干扰检测识别算法。首先,对真实导航信号和欺骗干扰信号进行分离和解调;然后,根据主特征值分布和解调得到的不同载频下导航电文的差异性,对转发式欺骗干扰和生成式欺骗干扰进行检测识别。实验结果表明,在半符号延迟下,所提算法解决了多峰检测算法识别性能下降的问题,检测识别率达到85%。Aiming at the problem of detection and identification of unknown spoofing interference signals,a spoofing interference detection and identification algorithm based on independent component analysis of main features is proposed.The proposed main feature independent component analysis method realizes the separation and the demodulation of the real navigation signal and the spoofing interference signal,and combines the distribution and demodulation of the main feature to obtain the difference of the navigation message under different carrier frequencies to complete the forwarding and generative spoofing interference detection and identification.The experimental results show that compared with the prevailing algorithms,the proposed one has better detection and recognition performance,the detection and recognition rate can reach 85%under half symbol delay,which overcomes the problem of the decline of interference detection and recognition performance of multi-peak detection algorithm under small delay.

关 键 词：转发式欺骗干扰 生成式欺骗干扰 独立分量分析 多峰检测 

分 类 号：TN972.3[电子电信—信号与信息处理]