叶簇穿透合成孔径雷达增强成像方法

金添

doi:10.12000/JR15114

叶簇穿透合成孔径雷达增强成像方法

DOI: 10.12000/JR15114

金添^,

(国防科学技术大学电子科学与工程学院长沙 410073)

基金项目:

国家自然科学基金(61271441),校科研计划项目(CJ12-04-02)

详细信息

作者简介:
金添(1980–),男,国防科学技术大学,教授,博士生导师,主要从事隐蔽目标雷达成像与检测识别、新型微波传感器机理与系统实现等方面的研究工作。2009年获全国优秀博士学位论文奖,2010年入选教育部“新世纪优秀人才支持计划”,2015年获国际无线电科学联盟青年科学家奖。承担国家自然科学基金、武器装备探索等多项课题,获省部级科技进步一等奖1项、二等奖1项。“信号处理与系统”国家精品课程和资源共享课主讲教师,信号处理系列课程国家级教学团队主要成员。已发表论文100余篇,获授权国家发明专利5项,出版专著3部、译著1部、教材1部。“信息感知技术”国家协同创新中心特聘研究员,荷兰代尔夫特理工大学访问学者。E-mail:tianjin@nudt.edu.cn

通讯作者:
金添tianjin@nudt.edu.cn

计量
- 文章访问数: 2979
- HTML全文浏览量: 536
- PDF下载量: 1463
- 被引次数: 0
出版历程
- 收稿日期: 2015-10-12
- 修回日期: 2015-10-29
- 网络出版日期: 2015-10-28

An Enhanced Imaging Method for Foliage Penetration Synthetic Aperture Radar

Jin Tian^,

(College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China)

Funds:

The National Natural Science Foundation of China under Grant 61271441, The Research Project of NUDT under Grant CJ12-04-02

摘要

摘要: 叶簇穿透合成孔径雷达(FOPEN SAR)为了探测树林中隐藏目标,通常工作在低信杂比(SCR)的环境中,目标检测难度极大。该文提出一种基于目标散射方位变化特性的增强成像方法,在保证高空间分辨率的同时,增强隐蔽目标图像SCR。对于感兴趣的车辆类目标,目标主侧面与地面形成二面角。当电磁波沿二面角法线方向入射时,回波能量最强。该方法能够获得该方位角对应的高分辨率图像,从而增强目标SCR,提高检测性能。实测机载FOPEN SAR数据验证了该方法的有效性。
- 叶簇穿透 /
- 合成孔径雷达 /
- 增强成像
Abstract: FOliage PENetration Synthetic Aperture Radar (FOPEN SAR) is used in low Signal-to-Clutter Ratio (SCR) conditions to detect targets hidden in forests, which introduces difficulties in target detection. In this study, an enhanced imaging method based on the scattering aspect variability of the target is proposed, which improves the SCR of the formed images of hidden targets while maintaining high spatial resolution. In the case of a vehicle target, the dihedral is formed by its main side and the ground. The echo is strongest when the incident electromagnetic wave is along the normal direction of the dihedral. A high-resolution image corresponding to this aspect angle is formed by the proposed enhanced imaging method to increase the SCR of the target and improve the detection performance. Airborne FOPEN SAR data were used to validate the efficiency of the proposed method.
- FOliage PENetration (FOPEN) /
- Synthetic Aperture Radar (SAR) /
- Enhanced imaging

HTML全文

参考文献(14)

[1]	Davis M E. Foliage Penetration Radar: Detection and Characterization of Objects under Trees[M]. SciTech Publishing, Inc, 2011: 60-92.
[2]	Novak L M, Halversen S D, Owirka G J, et al.. Effects of polarization and resolution on SAR ATR[J]. IEEE Transactions on Aerospace and Electronic Systems, 1997, 33(1): 102-116.
[3]	吴一戎. 多维度合成孔径雷达成像概念[J]. 雷达学报, 2013, 2(2): 135-142.Wu Yi-rong. Concept on multidimensional space joint-observation SAR[J]. Journal of Radars, 2013, 2(2): 135-142.
[4]	Kaplan L M, McClellan J H, and Seung-Mok Oh. Prescreening during image formation for ultrawideband radar[J]. IEEE Transactions on Aerospace and Electronic Systems, 2002, 38(1): 74-88.
[5]	Carin L, Ybarra G, Bharadwaj P, et al.. Physics-based classification of targets in SAR imagery using subaperture sequences[C]. IEEE International Conference on Acoustics, Speech and Signal Processing, Phoenix, AZ, USA, 1999: 3341-3344.
[6]	Runkle P, Nguyen L H, McClellan J H, et al.. Multi-aspect target detection for SAR imagery using hidden Markov models[J]. IEEE Transactions on Geoscience and Remote Sensing, 2001, 39(1): 46-55.
[7]	Soumekh M, Gunther G, Linderman M, et al.. Digitally-spotlighted subaperture SAR image formation using high performance computing[C]. Proceedings of SPIE, 2000, 4053: 260-271.
[8]	Wong D and Carin L. Analysis and processing of ultra wide-band SAR imagery for buried landmine detection[J]. IEEE Transactions on Antennas and Propagation, 1998, 46(11): 1747-1748.
[9]	杨威, 陈杰, 李春升. 面向目标特性精细提取的SAR数据融合成像处理方法[J]. 雷达学报, 2015, 4(1): 29-37.Yang Wei, Chen Jie, and Li Chun-sheng. SAR data fusion imaging method oriented to target feature extraction[J]. Journal of Radars, 2015, 4(1): 29-37.
[10]	Chaney R D, Willsky A S, and Novak L M. Coherent aspect-dependent SAR image formation[C]. Proceedings of SPIE, 1994, 2230: 256-274.
[11]	Jackson J A, Rigling B D, and Moses R L. Canonical scattering feature models for 3D and bistatic SAR[J]. IEEE Transactions on Aerospace and Electronic Systems, 2010, 46(2): 525-541.
[12]	Martin W and Flandrin P. Wigner-Ville spectral analysis of nonstationary processes[J]. IEEE Transactions on Acoustics, Speech, and Signal Processing, 1985, 33(6): 1461-1470.
[13]	Choi H-I and Williams W J. Improved time-frequency representation of multicomponent signals using exponential kernels[J]. IEEE Transactions on Acoustics, Speech, and Signal Processing, 1989, 37(6): 862-871.
[14]	洪文. 圆迹SAR成像技术研究进展[J]. 雷达学报, 2012, 1(2): 124-135.Hong Wen. Progress in circular SAR imaging technique[J]. Journal of Radars, 2012, 1(2): 124-135.