摘要
为了实现目标的分类、识别与成像,须研究其微多普勒效应。微多普勒信号通常被目标主体信号淹没,给微动特征的准确提取带来了困难。研究了低信噪比条件下由目标部件旋转引起的微多普勒信息的提取问题,提出了基于谱图域的目标主体信号剔除和微多普勒特征参数提取方法。仿真实验表明:在信噪比为-50dB条件下,该方法仍能取得较好的效果。
To realize the target classification, recognition and imagery,it is necessary to research its micro-Doppler （m-D） effect. The m-D signals are usually submerged by strong body echoes. In this paper, extraction of m-D information under the condition of low signal-to-noise ratio （SNR） was studied. An algorithm for elimination of body＇s signals and extraction of m-D features in the ＂spectrogram＂ domain was proposed. The simulation shows the method is satisfactory even with SNR= -50dB.
出处
《弹箭与制导学报》
CSCD
北大核心
2010年第3期148-150,共3页
Journal of Projectiles,Rockets,Missiles and Guidance
基金
国家自然科学基金(60672032)
陕西省自然科学基础研究计划项目(2007F28)资助
关键词
微多普勒
低信噪比
HOUGH变换
目标识别
micro-Doppler
low signal-to-noise ratio
Hough transform
target recognition
