引用本文:普运伟,侯文太,郭媛蒲,等.基于模糊函数三维特征的雷达辐射源信号分选方法[J].控制与决策,2019,34(10):2178-2184
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基于模糊函数三维特征的雷达辐射源信号分选方法
普运伟1,2, 侯文太1, 郭媛蒲1, 马蓝宇1
(1. 昆明理工大学信息工程与自动化学院,昆明650500; 2. 昆明理工大学计算中心,昆明650500)
摘要:
提取并补充新的特征参数,是解决当前复杂体制雷达辐射源信号分选难题的有效途径.由于模糊函数能够很好地展现信号波形的内在信息,从主、侧视角分别提取模糊函数三维图的主岭重心、主峰分布半径作为雷达辐射源信号分选的特征向量.核模糊C均值聚类实验表明,所提出方法在10dB以上的固定信噪比环境下分选6类典型信号的成功率均为100{%
关键词:  电子对抗  雷达辐射源  信号分选  模糊函数  特征提取  聚类
DOI:10.13195/j.kzyjc.2018.0144
分类号:TN974
基金项目:国家自然科学基金项目(61561028).
A sorting method of radar emitter signal based on three dimensional feature of ambiguity function
PU Yun-wei1,2,HOU Wen-tai1,GUO Yuan-pu1,MA Lan-yu1
(1. Faculty of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650500,China;2. Computer Center,Kunming University of Science and Technology,Kunming650500,China)
Abstract:
Extracting and supplementing the new feature parameters is an effective way to solve the sorting problem of radar emitter signal in present complex systems. Because the ambiguity function can display the intrinsic information of signal waveform well, the main hill center and the main peak distribution radius of the three-dimensional graphs of ambiguity function are extracted from the main and side views as the feature vector of the signal sorting of radar emitter. The kernelized fuzzy C-means clustering experiment shows that the success rate of sorting six typical signals is 100{%
Key words:  electronic countermeasure  radar emitter  signal sorting  ambiguity function  feature extraction  clustering

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