雷达目标微多普勒特征提取的频率稳定度约束
发布时间:2018-12-30 16:43
【摘要】:微多普勒特征的准确提取对于雷达目标识别具有重要意义.提出了调频闪烁噪声产生方法;给出了频率源相位噪声综合的参数化模型.在此基础上,结合相位噪声对微多普勒特征提取的影响分析,建立了以载频信号相位噪声为主要干扰源的全相参脉冲雷达微多普勒特征提取仿真系统.引入逆拉东(Radon)变换,定量分析了相位噪声对雷达目标微多普勒特征提取的影响,得出现有的晶振技术指标可支撑中段弹头目标微多普勒特征提取的明确结论.
[Abstract]:The accurate extraction of micro-Doppler features is very important for radar target recognition. A method for generating frequency modulation scintillation noise and a parameterized model for synthesizing phase noise of frequency source are presented. Based on the analysis of the effect of phase noise on micro-Doppler feature extraction, a simulation system for micro-Doppler feature extraction of coherent pulse radar with carrier frequency signal phase noise as the main interference source is established. The effect of phase noise on micro-Doppler feature extraction of radar target is quantitatively analyzed by introducing inverse Radon (Radon) transform, and a clear conclusion is drawn that the existing crystal oscillation technical indexes can support the micro-Doppler feature extraction of midcourse warhead target.
【作者单位】: 中国电子科学研究院;
【基金】:上海航天科技创新基金(No.SAST201240) 国家自然科学基金(No.61271373)
【分类号】:TN957.51
,
本文编号:2395844
[Abstract]:The accurate extraction of micro-Doppler features is very important for radar target recognition. A method for generating frequency modulation scintillation noise and a parameterized model for synthesizing phase noise of frequency source are presented. Based on the analysis of the effect of phase noise on micro-Doppler feature extraction, a simulation system for micro-Doppler feature extraction of coherent pulse radar with carrier frequency signal phase noise as the main interference source is established. The effect of phase noise on micro-Doppler feature extraction of radar target is quantitatively analyzed by introducing inverse Radon (Radon) transform, and a clear conclusion is drawn that the existing crystal oscillation technical indexes can support the micro-Doppler feature extraction of midcourse warhead target.
【作者单位】: 中国电子科学研究院;
【基金】:上海航天科技创新基金(No.SAST201240) 国家自然科学基金(No.61271373)
【分类号】:TN957.51
,
本文编号:2395844
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