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作 者:齐子森[1] 张梓轩 许华[1] 史蕴豪 QI Zisen;ZHANG Zixuan;XU Hua;SHI Yunhao(Institute of Telecommunication Engineering,Aire Force Engineering University,Xi’an 710077,China)
机构地区:[1]空军工程大学信息与导航学院,西安710077
出 处:《电子与信息学报》2024年第4期1286-1295,共10页Journal of Electronics & Information Technology
摘 要:针对现有方法在跳频通信用户“空时频能”域特征相近、跳频参数捷变等条件下,跳频网台分类识别效果不佳的问题,该文提出一种基于无线电极化特征的跳频用户分选方法。该方法将无线电双极化特征引入到跳频侦察,充分利用各用户的交叉极化鉴别度差异,实现了跳频网台精准分选。针对同类用户交叉极化鉴别度参数易受噪声污染的问题,构建了双通道双极化接收系统,抑制了信号噪声,保证了极化特征提取的精度。在此基础上,基于谱聚类思想,完成了极化特征的分类软判决,进一步提升了跳频网台分选效果,实现了跳频信号的精准识别。仿真实验表明,在5 dB信噪比条件下,所提方法可对同步正交和非正交组网方式下的多跳频网台准确识别,识别分类成功率达99%以上,验证了新方法的有效性。The paper proposes a hopping signal sorting method based on radio polarization features to address the problem of poor classification and recognition performance of hopping network stations under the condition of similar characteristics in the“space-time-frequency-energy”domain of user and agile frequency hopping parameters using the existing methods.Radio dual-polarization features are introduced into hopping reconnaissance,fully utilizing the differences in cross-polarization discrimination of each user and achieving accurate hopping network station sorting.To address the issue that the cross-polarization discrimination parameter of users of the same type is susceptible to noise pollution,a dual-channel dual-polarization receiving system is constructed to suppress signal noise and ensure the accuracy of polarization feature extraction.Based on the spectral clustering idea,a soft classification decision of polarization characteristics is made,which further improves the network station selection effect and achieves accurate identification of hopping signals.Simulation experiments show that under a 5 dB signal-to-noise ratio,the proposed algorithm can accurately identify multiple hopping network stations under synchronous orthogonal and non-orthogonal networking modes,with a success rate of over 99%in identification and classification,verifying the effectiveness of the new method.
分 类 号:TN914.4[电子电信—通信与信息系统]
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