一站固定式双基FMCW SAR地面振动目标检测与特征提取
发布时间：2018-10-16 21:02
【摘要】：地面目标的微小运动是目标本身独有的特性,可用于目标的分类与识别。论文对一站固定式双基FMCW SAR地面振动目标检测与特征提取方法展开研究,采用相位中心偏置天线(DPCA)技术进行杂波抑制,进而检测出地面振动目标。对回波信号分析表明,经DPCA杂波抑制后回波信号中存在一个随慢时间变化的包络项,称为慢时间包络(STE),该项将影响振动目标微多普勒(m-D)时频曲线的能量分布,导致无法获取完整的振动目标mD时频曲线;进一步地,利用STE项与振动特征之间的关系,可实现振动目标的特征提取。仿真实验验证了理论分析结果及特征提取方法的有效性。
[Abstract]:The small motion of ground target is the characteristic of target itself and can be used for classification and recognition of target. In this paper, the method of ground vibration target detection and feature extraction of a stationary bistatic FMCW SAR is studied. The clutter suppression is carried out by using phase center offset antenna (DPCA) technique, and the ground vibration target is detected. The analysis of the echo signal shows that there is an envelope term in the echo signal which changes with slow time after suppression by DPCA clutter, which is called slow time envelope (STE), which will affect the energy distribution of the time-frequency curve of micro-Doppler (m-D) of the vibrating target. As a result, the complete mD time-frequency curve of the vibration target can not be obtained, and further, the feature extraction of the vibration target can be realized by using the relation between the STE term and the vibration feature. Simulation results verify the effectiveness of the theoretical analysis and feature extraction method.
【作者单位】： 空军工程大学信息与导航学院;陕西省计量科学研究院;
【基金】：国家自然科学基金(61172169,61471386)~~
【分类号】：TN957.51
本文编号：2275624
[Abstract]:The small motion of ground target is the characteristic of target itself and can be used for classification and recognition of target. In this paper, the method of ground vibration target detection and feature extraction of a stationary bistatic FMCW SAR is studied. The clutter suppression is carried out by using phase center offset antenna (DPCA) technique, and the ground vibration target is detected. The analysis of the echo signal shows that there is an envelope term in the echo signal which changes with slow time after suppression by DPCA clutter, which is called slow time envelope (STE), which will affect the energy distribution of the time-frequency curve of micro-Doppler (m-D) of the vibrating target. As a result, the complete mD time-frequency curve of the vibration target can not be obtained, and further, the feature extraction of the vibration target can be realized by using the relation between the STE term and the vibration feature. Simulation results verify the effectiveness of the theoretical analysis and feature extraction method.
【作者单位】： 空军工程大学信息与导航学院;陕西省计量科学研究院;
【基金】：国家自然科学基金(61172169,61471386)~~
【分类号】：TN957.51
【参考文献】
相关期刊论文 前2条
1 梁毅;王虹现;邢孟道;保铮;;基于FMCW的大斜视SAR成像研究[J];电子与信息学报;2009年04期
2 金日初;王宇;邓云凯;邵云峰;赵硕;;改进的一站固定式双基SAR频域成像方法[J];雷达学报;2014年02期
【共引文献】
相关硕士学位论文 前3条
1 高飞;两种体制合成孔径雷达成像及抗欺骗干扰研究[D];哈尔滨工程大学;2012年
2 张今培;调频连续波SAR成像算法及参数估计方法研究[D];南京航空航天大学;2012年
3 杜传红;调频连续波SAR成像R-D及ωK算法研究[D];哈尔滨工程大学;2013年
【二级参考文献】
相关硕士学位论文 前1条
1 张欢;基于实测数据的斜视SAR成像算法研究[D];西安电子科技大学;2006年
【相似文献】
相关期刊论文 前2条
1 王颖;曲长文;;FMCW SAR的转发式欺骗干扰[J];电子信息对抗技术;2008年05期
2 ;[J];;年期
，本文编号：2275624
本文链接：https://www.wllwen.com/kejilunwen/wltx/2275624.html
