眭萍^1,,,
郭英¹,
李红光¹,
王宇宙²
1.空军工程大学信息与导航学院 西安 710077
2.中国人民解放军93993部队 兰州 730102
基金项目:国家自然科学基金(61601500)

详细信息

作者简介:眭萍：女，1991年生，博士生，研究方向为信号处理与电子对抗
郭英：女，1961年生，教授，研究方向为电子对抗理论与技术
李红光：男，1986年生，博士生，研究方向为信号处理与电子对抗
王宇宙：男，1992年生，硕士生，研究方向为信号处理

通讯作者:眭萍　ziwuningxin@163.com

中图分类号:TP391

计量

文章访问数:1261
HTML全文浏览量:464
PDF下载量:19
被引次数:0

出版历程

收稿日期:2018-10-12
修回日期:2019-03-14
网络出版日期:2019-04-13
刊出日期:2019-12-01

Frequency-hopping Transmitter Classification Based on Chaotic Attractor Reconstruction and Low-rank Clustering

Ping SUI^1,,,
Ying GUO¹,
Hongguang LI¹,
Yuzhou WANG²
1. Information and Navigation College, Air Force Engineering University, Xi’an 710077, China
2. The No. 93993 Unit of PLA, Lanzhou 730102, China
Funds:The National Natural Science Foundation of China (61601500)


摘要
摘要:辐射源无调制信息的暂态信号能够表征辐射源发射机的无意调制特性，对该暂态信号分析可实现辐射源识别。而跳频电台在开机以及频率转换瞬间，都存在一个无信息传送的暂态调整时间，该暂态调整瞬间，电台发射的信号是无调制信息的非线性、非平稳和非高斯信号。该暂态时间序列可反映跳频电台的器件特性，同时该序列往往呈现复杂的混沌特性。因此，借鉴混沌时间序列分析的思想，同时利用暂态信号的Low-rank特性，该文提出了一种基于暂态信号混沌吸引子重构和Low-rank聚类的跳频信号电台分选算法。实验测试表明：跳频电台的暂态信号时间序列属于混沌时间序列，同时实测多跳频信号的电台分选结果证明了Low-rank聚类算法在跳频电台分选上的可行性。
关键词:跳频电台/
暂态信号/
混沌吸引子/
Low-rank聚类
Abstract:The transient signal without modulation information of the radiation source can characterize the unintentional modulation characteristics of the radiation source. The analysis of the transient signal can realize the radiation source identification. In the switching on and frequency conversion process of the frequency-hopping signal, there is a transient adjustment time without information transmission. In the transient adjustment moment, the signal transmitted by the transmitter is a non-linear, non-stationary and non-Gaussian signal without modulation information. This transient time series can reflect the device characteristics of the frequency-hopping transmitter, and the sequence often exhibits complex chaotic characteristics. Therefore, from the idea of chaotic time series analysis and Low-rank characteristics of transient signal, a frequency-hopping transmitter classification algorithm is proposed based on chaotic attractor reconstruction and Low-rank clustering. The experimental tests show that the transient signal of the frequency-hopping transmitter belongs to the chaotic time series. At the same time, the classification results of the frequency-hopping signals demonstrate the feasibility of the Low-rank clustering algorithm in frequency-hopping transmitter classification.
Key words:Frequency-hopping transmitter/
Transient signal/
Chaotic attractor/
Low-rank clustering



PDF全文下载地址:

https://jeit.ac.cn/article/exportPdf?id=9a31ef73-40d0-4408-88c6-08812581289b