空间锥体目标的平动补偿与微动特征提取方法
发布时间：2018-07-14 09:33
【摘要】：微动特征对空间锥体目标识别与参数估计等有着重要意义,而目标的平动会破坏微多普勒谱的结构,影响微动特征的提取.针对这一问题,提出了一种基于时变自回归(Time-Varying Autoregressive,TVAR)模型的平动补偿与微动特征提取方法.算法首先分析了锥体目标的散射特性,在此基础上推导了微动和平动引起的回波瞬时频率的变化规律;利用TVAR模型估计目标回波的瞬时频率,并对估计结果作解模糊和重新关联处理,从而获得回波的瞬时频率分量;最后,对瞬时频率分量包络进行多项式拟合,利用拟合结果补偿目标平动,进而提取出微动特征.基于电磁计算数据的实验验证了所提算法的有效性及精确性.
[Abstract]:Fretting features play an important role in the recognition and parameter estimation of spatial conical objects, and the translation of targets will destroy the structure of micro-Doppler spectrum and affect the extraction of fretting features. In order to solve this problem, a method of translation compensation and fretting feature extraction based on Time-Varying autoregressive (TV-AR) model is proposed. Based on the analysis of scattering characteristics of conical target, the variation law of echo instantaneous frequency caused by fretting and moving is deduced, and the instantaneous frequency of target echo is estimated by TVAR model. Finally, the instantaneous frequency component of the echo is obtained by polynomial fitting of the envelope of the instantaneous frequency component, and the target translation is compensated by the fitting result, and then the fretting feature is extracted. Experiments based on electromagnetic data show that the proposed algorithm is effective and accurate.
【作者单位】： 西安电子科技大学雷达信号处理国家重点实验室;
【基金】：国家自然科学基金(61271024,61201296) 全国优秀博士学位论文作者专项资金资助项目(FANEDD-201156)联合资助课题
【分类号】：TN957.51
[Abstract]:Fretting features play an important role in the recognition and parameter estimation of spatial conical objects, and the translation of targets will destroy the structure of micro-Doppler spectrum and affect the extraction of fretting features. In order to solve this problem, a method of translation compensation and fretting feature extraction based on Time-Varying autoregressive (TV-AR) model is proposed. Based on the analysis of scattering characteristics of conical target, the variation law of echo instantaneous frequency caused by fretting and moving is deduced, and the instantaneous frequency of target echo is estimated by TVAR model. Finally, the instantaneous frequency component of the echo is obtained by polynomial fitting of the envelope of the instantaneous frequency component, and the target translation is compensated by the fitting result, and then the fretting feature is extracted. Experiments based on electromagnetic data show that the proposed algorithm is effective and accurate.
【作者单位】： 西安电子科技大学雷达信号处理国家重点实验室;
【基金】：国家自然科学基金(61271024,61201296) 全国优秀博士学位论文作者专项资金资助项目(FANEDD-201156)联合资助课题
【分类号】：TN957.51
【参考文献】
相关期刊论文 前6条
1 高红卫;谢良贵;文树梁;匡勇;;基于微多普勒特征的真假目标雷达识别研究[J];电波科学学报;2008年04期
2 关永胜;左群声;刘宏伟;;基于微多普勒特征的空间锥体目标识别[J];电波科学学报;2011年02期
3 李松;朱丰;刘昌云;冯有前;张群;;基于压缩感知的弹道导弹微多普勒提取方法[J];电波科学学报;2011年05期
4 贺思三;周剑雄;付强;;利用一维距离像序列估计弹道中段目标进动参数[J];信号处理;2009年06期
5 高红卫;谢良贵;文树梁;匡勇;;加速度对微多普勒的影响及其补偿研究[J];宇航学报;2009年02期
6 杨有春;童宁宁;冯存前;程冬;沈堤;;利用最强散射点信息的平动补偿与微多普勒提取[J];西安电子科技大学学报;2012年06期
相关博士学位论文 前1条
1 李康乐;雷达目标微动特征提取与估计技术研究[D];国防科学技术大学;2010年
【共引文献】
相关期刊论文 前10条
1 王长青;王新民;史晓丽;;编队飞行器的雷达角闪烁特性及其应用研究[J];兵工学报;2008年12期
2 孙蒙;王正明;;零现场子样下目标识别率的融合评估方法[J];兵工学报;2009年05期
3 朱R缄，
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