Three-Dimensional Imaging of Ballistic Targets with Vanes Based on Netted Radar

FENG Cunqian; CHEN Rong; HUANG Darong; XU Xuguang

doi:10.11999/JEIT170481

Volume 40 Issue 3

Mar. 2018

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(3): 517-524

FENG Cunqian, CHEN Rong, HUANG Darong, XU Xuguang . Three-Dimensional Imaging of Ballistic Targets with Vanes Based on Netted Radar[J]. Journal of Electronics & Information Technology, 2018, 40(3): 517-524. doi: 10.11999/JEIT170481

Citation:

FENG Cunqian, CHEN Rong, HUANG Darong, XU Xuguang . Three-Dimensional Imaging of Ballistic Targets with Vanes Based on Netted Radar[J]. Journal of Electronics & Information Technology, 2018, 40(3): 517-524. doi: 10.11999/JEIT170481

Citation:

PDF( 1045 KB)

Three-Dimensional Imaging of Ballistic Targets with Vanes Based on Netted Radar

doi: 10.11999/JEIT170481

Funds:

The National Natural Science Foundation of China (61372166)

Received Date: 2017-05-18
Rev Recd Date: 2017-11-27
Publish Date: 2018-03-19

Abstract

Abstract

The multi-angle characteristic of netted radar is helpful in obtaining the actual space structure of ballistic targets. In this paper, the echo model for precession targets with vanes is established. Based on the model, the rate of change of micro-Doppler for different scattering centers are analyzed, and the micro-Doppler information is extracted. Then the nonlinear least-square fitting is introduced to obtain the amplitude and phase information of scattering centers. Amplitude information of scattering centers at the conical point obtained from radars is used to estimate micro-motion characteristics and parameters of coordinate transformation. According to the distinctions among different projection components of scattering centers under different perspectives, scattering centers of fins are matched, and the instantaneous space coordinates are calculated to reconstruct the targets. Finally, simulations verify the effectiveness of the proposed method, and the influence of micro-motion parameters and SNR (Signal to Noise Ratio) on reconstruction results are analyzed.
- Netted radar,
- Ballistic targets with vanes,
- Scattering centers matching,
- 3-D imaging

FullText(HTML)

References(33)

References

YUAN Bing, XU Shiyou, LIU Yang, et al. Echo separation and imaging of spatial precession targets with unsymmetrical appendix parts based on CEMD[J]. Journal of Electronics Information Technology, 2013, 35(1): 1-7. doi: 10.3724/ SP.J.1146.2012.00851.

袁斌, 徐世友, 刘洋, 等. 基于复数经验模式分解的非旋转对称空间进动目标回波分离及成像研究[J]. 电子与信息学报,　2013, 35(1): 1-7. doi: 10.3724/SP.J.1146.2012.00851.

韩勋, 杜兰, 刘宏伟. 基于窄带雷达组网的空间锥体目标特征提取方法[J]. 电子与信息学报, 2014, 36(12): 2956-2962. doi: 10.3724/SP.J.1146.2013.02037.

HAN Xun, DU Lan, and LIU Hongwei. Feature extraction of space cone-shaped target based on narrow-band radar networks[J]. Journal of Electronics Information Technology, 2014, 36(12): 2956-2962. doi: 10.3724/SP.J.1146.2013.02037.

洪灵, 戴奉周, 刘宏伟, 等. 基于三维重构的空间目标进动参数估计方法[J]. 电波科学学报, 2015, 30(2): 237-243. doi: 10.13443/j.cjors.2014051601.

HONG Ling, DAI Fengzhou, LIU Hongwei, et al. Precession parameters estimation for space target based on 3D reconstruction[J]. Chinese Journal of Radio Science, 2015, 30(2): 237-243. doi: 10.13443/j.cjors.2014051601.

胡晓伟, 童宁宁, 何兴宇, 等. 基于窄带雷达组网的高速自旋目标成像[J]. 系统工程与电子技术, 2016, 38(4): 792-798. doi: 10.3969/j.issn.1001-506X.2016.04.11.

HU Xiaowei, TONG Ningning, HE Xingyu, et al. High-speed spinning target imaging based on narrow-band radar networks[J]. Systems Engineering and Electronics, 2016, 38(4): 792-798. doi: 10.3969/j.issn.1001-506X.2016.04.11.

丁小峰, 范梅梅, 魏玺章, 等. 空间进动锥体目标窄带雷达成像算法[J]. 中国科学: 技术科学, 2010, 40(6): 686-694. doi: 10.1007/s11431-010-0112-6.

DING Xiaofeng, FAN Meimei and WEI Xizhang, et al. Narrowband imaging method for spatial precession cone-shaped targets[J]. Science China Tech Sciences, 2010, 40(6): 686-694. doi: 10.1007/s11431-010-0112-6.

雷腾, 刘进忙, 李松, 等. 基于MP稀疏分解的弹道中段目标ISAR成像新方法[J]. 系统工程与电子技术, 2011, 33(12): 2649-2654. doi: 10.3969/j.issn.1001-506X.2011.12.15.

LEI Teng, LIU Jingmang and LI Song, et al. A novel ISAR imaging method of ballistic midcourse targets based on MP sparse decomposition[J]. Systems Engineering and Electronics, 2011, 33(12): 2649-2654. doi: 10.3969/j.issn.1001-506X.2011. 12.15.

梁必帅, 张群, 娄昊, 等. 基于微动特征关联的空间非对称自旋目标雷达三维成像方法[J]. 电子与信息学报, 2014, 36(6): 1381-1388. doi: 10.3724/SP.J.1146.2013.01147.

LIANG Bishuai, ZHANG Qun, LOU Hao, et al. A method of three-dimensional imaging based on micro-motion feature association for spatial asymmetrical spinning targets[J]. Journal of Electronics Information Technology, 2014, 36(6): 1381-1388. doi: 10.3724/SP.J.1146.2013.01147.

胡晓伟, 童宁宁, 何兴宇, 等. 基于微动参数估计的非对称进动目标三维成像[J]. 系统工程与电子技术, 2016, 38(3): 501-505. doi: 10.3969/j.issn.1001-506X.2016.03.04.

HU Xiaowei, TONG Ningning, HE Xingyu, et al. Three- dimensional imaging of precession targets with unsymmetrical appendixes based on micro-motion parameters estimation[J]. Systems Engineering and Electronics, 2016, 38(3): 501-505. doi: 10.3969/j.issn.1001- 506X.2016.03.04.

李靖卿, 冯存前, 贺思三, 等. 基于最近邻域的弹道多目标分辨及micro-Doppler提取[J]. 中国科学: 信息科学, 2015, 45(12): 1640-1650. doi: 10.1360/N112014-00368.

LI Jingqing, FENG Cunqian, HE Sisan, et al. Ballistic multi-target resolution and micro-Doppler extraction based on the nearest neighborhood[J]. Scientia Sinica (Informationis), 2015, 45(12): 1640-1650. doi: 10.1360/ N112014-00368.

李靖卿, 冯存前, 孙宏伟, 等. 基于混合体制雷达网的弹道目标微特征及外形参数提取[J]. 航空学报, 2016, 37(6): 1963-1973. doi: 10.7527/S1000-6893.2016.0054.

LI Jingqing, FENG Cunqian, SUN Hongwei, et al. Micro- motion feature and shape parameters extraction based on hybrid-scheme radar network for ballistic targets[J]. Acta Aeronautica et Astronautica Sinica, 2016, 37(6): 1963-1973. doi: 10.7527/S1000-6893.2016.0054.

雷腾, 刘进忙, 余付平, 等. 基于时间-距离像的弹道目标进动特征提取新方法[J]. 信号处理, 2012, 28(1): 73-79.

LEI Teng, LIU Jingmang, YU Fuping, et al. A new procession signature extraction method of ballistic target based on range-profile[J]. Signal Processing, 2012, 28(1): 73-79.

罗迎, 柏又青, 张群, 等. 弹道目标平动补偿与微多普勒特征提取方法[J]. 电子与信息学报, 2012, 34(3): 602-608. doi: 10.3724/SP.J.1146.2011.00607.

LUO Ying, BAI Youqing, ZHANG Qun, et al. Translational motion compensation and micro-Doppler feature extraction of ballistic targets[J]. Journal of Electronics Information Technology, 2012, 34(3): 602-608. doi: 10.3724/SP.J.1146. 2011.00607.

LUO Ying, ZHANG Qun, YUAN Ning, et al. Three- dimensional precession feature extraction of space targets[J]. IEEE Transtions on Aerospace Electronic System, 2014, 50(2): 1969-1981. doi: 10.1109/TAES.2014.110545.

刘永坦. 雷达成像技术[M]. 哈尔滨: 哈尔滨工业大学出版社, 1999: 169-170.

张有为, 李少洪. 雷达系统分析[M]. 北京: 国防工业出版社, 1981: 233-236.

LI Baoguo, ZHAO Hongzhong, and FU Qiang. Research on high accuracy angle measuring technology of MMW monopulse radar[C]. IEEE International Radar Conference, Arlington, VA, USA, 2005: 753-756. doi: 10.1109/RADAR. 2005.1435926.

陈蓉, 冯存前, 许旭光, 等. 基于遮挡效应补偿的目标散射中心匹配[C]. 2017全国复杂环境下雷达设计、干扰及防护学术交流大会, 北京, 2017: 409-414.

张龙, 李亚超, 苏军海, 等. 一种统计RELAX方法的ISAR成像研究[J]. 西安电子科技大学学报, 2010, 37(6): 1065-1070. doi: 10.3969/j.issn.1001.2400.2010.06.015.

ZHANG Long, LI Yachao, SU Junhai, et al. Research on the ISAR imaging used statistical RELAX method[J]. Journal of Xidian University, 2010, 37(6): 1065-1070. doi: 10.3969/j.issn. 1001.2400.2010.06.015.

冯存前, 李靖卿, 贺思三, 等. 组网雷达中弹道目标微动特征提取与识别综述[J]. 雷达学报, 2015, 4(6): 609-620. doi: 10.12000/JR15084.

FENG Cunqian, LI Jingqin, HE Sisan, et al. Micro-Doppler feature extraction and recognition based on netted radar for ballistic targets[J]. Journal of Radars, 2015, 4(6): 609-620. doi: 10.12000/JR15084.

Relative Articles

Supplements(0)

Cited By

Proportional views