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一种雷达信号模糊函数特征提取与识别方法
引用本文:邢强,朱卫纲,冉达.一种雷达信号模糊函数特征提取与识别方法[J].航天电子对抗,2014(3):50-53.
作者姓名:邢强  朱卫纲  冉达
作者单位:[1]装备学院研究生管理大队,北京101416 [2]装备学院光电装备系,北京101416
摘    要:现代雷达面向智能化、软件化、多功能与多用途方向发展,一部雷达往往具有多种工作体制与工作状态,雷达信号采用复杂的波形设计,这就使得雷达信号的特征提取与识别过程变得越来越困难。另外,现代电磁环境复杂,杂波、噪声干扰严重,给雷达的侦察工作带来更大的难度。基于此,提出将流形学习应用于雷达信号模糊函数的特征提取,并对其进行仿真与分析。结果验证了该方法的可行性。

关 键 词:雷达  特征提取  识别  流行学习

Research on a method for radar signal ambiguity function feature extraction and recognition
Xing Qiang,ZhuWeigang,Ran Da.Research on a method for radar signal ambiguity function feature extraction and recognition[J].Aerospace Electronic Warfare,2014(3):50-53.
Authors:Xing Qiang  ZhuWeigang  Ran Da
Institution:1. Department of Graduate Management of Equipment Academy, Beij ing 101416, China; 2. Department of Optical and Electronic Equipment of Equipment Academy, Beiiing 101416,China)
Abstract:Modern radar develops for the intelligent, software, multi-functional and versatile direction, working with a variety of operating systems and states. The radar signal is designed by sophisticated waveform. As a result, the radar signal feature extraction and recognition process become increasingly difficult. Meanwhile, modern complex electromagnetic environment is interfered by clutter and noise seriously. This makes radar reconnaissance work become more difficult. An universal method is presented, that the manifold learning is used in radar signal ambiguity function feature extraction and analysis. The simulation results show its feasibility.
Keywords:radar  feature extraction  identification  manifold learning
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