| 基于信号暂态稀疏表示的AIS辐射源个体识别方法 |
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| 引用本文： | 贾永强,甘露.基于信号暂态稀疏表示的AIS辐射源个体识别方法[J].信号处理,2016,32(10):1146-1152. |
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| 作者姓名： | 贾永强 甘露 |
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| 作者单位： | 电子科技大学网络空间安全研究中心 电子工程学院 |
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| 摘 要： | 针对民用船舶自动报告系统通信辐射源个体识别问题，该文提出一种基于信号暂态稀疏表示的个体识别方法。该算法求解一个充分利用信号暂态样本类别信息且可保持样本稀疏表示结构的投影变换，来提取低维个体特征矢量。该算法通过最大化类间特征的重构误差和最小化类内特征的重构误差来构造目标函数求解投影变换，并在低维辨别子空间以最小稀疏表示重构误差准则来判定测试样本类别属性。对实际数据处理结果表明该文提出的新算法可有效识别不同辐射源个体；对辐射源暂态信号建模仿真结果，验证了该文算法的正确性和有效性，且平均正确识别率优于现有算法。
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| 关 键 词： | 特定辐射源识别 稀疏表示 重构误差 |
| 收稿时间： | 2016-04-08 |
A Novel Fingerprint Identification Method Based on Sparse Representation for Transient of AIS Emitter |
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| Abstract: | Based on the sparse representation of transient，a novel method of radio transient fingerprint sparse representation discriminant for emitters in Automatic Identification System is investigated. The algorithm finds a projection preserved sparse representation structure of transient vectors and class label information to project the test vector to the optimal low dimensional discriminable subspace. An objective function is constructed by simultaneously maximizing reconstructed error of inter-class features, and minimizing reconstructed error of intra-class features. The criterion of minimum reconstruction error of sparse representation for test vector is applied to find classification label. Its applications to signals measured through an antenna show promising results for radiometric identification of emitters in Automatic Identification System. Simulations on the data set of the radio transient mathematical model proves the correctness and validity of the proposed method, and the simulation results show that the average correct classification ratio of the proposed method have a huge advantage in comparison with the existing algorithm. |
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