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LPI Radar Waveform Recognition Based on Features from Multiple Images

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成果类型:
期刊论文
作者:
Ma, Zhiyuan;Huang, Zhi;Lin, Anni;Huang, Guangming*黄光明
通讯作者:
Huang, Guangming(黄光明
作者机构:
[Huang, Guangming; Ma, Zhiyuan] Cent China Normal Univ, Coll Phys Sci & Technol, 152 Luoyu Rd, Wuhan 430079, Peoples R China.
[Ma, Zhiyuan; Huang, Zhi; Lin, Anni] Naval Univ Engn, Dept Elect Technol, Wuhan 430033, Peoples R China.
通讯机构:
[Huang, Guangming] C
Cent China Normal Univ, Coll Phys Sci & Technol, 152 Luoyu Rd, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
low probability of intercept;multiple feature image;short-time autocorrelation
期刊:
Sensors
ISSN:
1424-8220
年:
2020
卷:
20
期:
2
页码:
526
机构署名:
本校为第一且通讯机构
院系归属:
物理科学与技术学院
摘要:
Detecting and classifying the modulation type of the intercepted noisy LPI (low probability of intercept) radar signals in real-time is a necessary survival technique in the electronic intelligence systems. Most radar signals have been designed to have LPI properties; therefore, the LPI radar waveform recognition technique (LWRT) has recently gained increasing attention. In this paper, we propose a multiple feature images joint decision (MFIJD) model with two different feature extraction structures that fully extract the pixel feature to obtain...

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