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基于神经网络的时频域雷达信号调制参数估计
引用本文:邹兴文.基于神经网络的时频域雷达信号调制参数估计[J].航天电子对抗,2008,24(5):32-35.
作者姓名:邹兴文
作者单位:西南交通大学信息科学与技术学院,四川,成都,610031
摘    要:针对常规时频分析方法对多分量雷达信号分析的不足,提出一种基于神经网络的时频域多分量雷达信号调制参数估计新方法.把多分量雷达信号的时频分布作为灰度图像,通过神经网络训练得到高分辨率时频平面图,然后在时频域实现雷达信号各分量的调制参数估计,相对于时频重排等方法,其对时频分布的处理不需要关于各分量信号的先验知识.仿真实验表明,该方法在得到比时频重排方法更高分辨率时频图的基础上,能够较准确地估计各分量雷达信号调制参数.

关 键 词:雷达信号  神经网络  时频分布  调制参数估计

Modulation parameters estimation method for radar signals in time-frequency domain based on neural network
Zou Xingwen.Modulation parameters estimation method for radar signals in time-frequency domain based on neural network[J].Aerospace Electronic Warfare,2008,24(5):32-35.
Authors:Zou Xingwen
Institution:Zou Xingwen (College of Information Science , Technology,Southwest Jiaotong University,Chengdu 610031,Sichuan,China)
Abstract:Conventional time-frequency analysis methods are exposed to some limitations in analyzing multi-component radar signals.A method for detecting modulation parameters of multi-component radar signals is proposed based on neural network.The time-frequency distribution of multi-component radar signals is regarded as a grayscale image.Neural network training can lead to the improvement of time-frequency resolution.Radar signals modulation parameters are extracted in the time-frequency plane.Compared with time-fr...
Keywords:radar signal  neural network  time-frequency distribution  modulation parameter estimation  
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