组网雷达弹道目标三维进动特征提取

doi:10.3969/j.issn.1001-2400.2015.02.024

J4 ›› 2015, Vol. 42 ›› Issue (2): 146-151.doi: 10.3969/j.issn.1001-2400.2015.02.024

组网雷达弹道目标三维进动特征提取

张栋¹;冯存前¹;贺思三¹;童宁宁¹;雷腾²

(1. 空军工程大学防空反导学院，陕西西安 710051; 2. 中国人民解放军95859部队，甘肃武威 735018)

收稿日期:2013-11-18 出版日期:2015-04-20 发布日期:2015-04-14
通讯作者: 张栋
作者简介:张栋(1990- )，男，空军工程大学硕士研究生，E-mail: zhangdongtougao@163.com．
基金资助:
国家自然科学基金资助项目(61372166)；陕西省自然科学基础研究计划资助项目(2014JM8308)

Extraction of three-dimensional precession features of ballistic targets in netted radar

ZHANG Dong¹;FENG Cunqian¹;HE Sisan¹;TONG Ningning¹;LEI Teng²

(1. Air and Missile Defense College, Air Force Engineering Univ., Xi'an 710051, China; 2. Unit 95859 of PLA, Wuwei 735018, China)

Received:2013-11-18 Online:2015-04-20 Published:2015-04-14
Contact: ZHANG Dong

摘要/Abstract

摘要： 针对单部雷达观测目标存在视角局限性的问题，提出了一种基于组网雷达的弹道目标三维进动特征提取法．首先，雷达网中各雷达分别从弹道目标的时间距离像信号中求得强散射点径向距离变化线性和信号，通过频谱分析估计出目标的自旋、锥旋频率以及进动角；然后，组网雷达通过系数加权法对各雷达得到的上述参数进行融合处理以提高参数精度；最后，根据雷达观测视角与微多普勒信号之间的关系，通过构造多元非线性方程组，进一步精确求解目标的三维进动参数．仿真实验证明，该方法既有效地提高了参数的估计精度，又得到进动目标的三维微动参数．

关键词: 组网雷达, 微多普勒, 三维进动特征

Abstract: To solve the problem of angle limitation of the single radar, a method for extracting three-dimensional precession characteristics of the ballistic target based on netted radar is proposed. Firstly, the linear sum signal of the scatters' radial distance is independently estimated from the time-profile signal by radar in the radar net, and the precession parameters can be extracted by the sum signal's spectral characteristics. Then to improve the precision of the estimation of parameters the above parameters are fused by the method of weighted coefficient. Lastly, making use of the relationship between the multi-view of netted radar and the micro-Doppler signal, the three-dimensional micro-motion features are obtained by solving nonlinear multivariable equation systems. Simulation results prove that the method can lead to both the high estimating precision and the three-dimensional micro-motion parameters.

Key words: netted radar, micro-Doppler, three-dimensional precession feature

张栋;冯存前;贺思三;童宁宁;雷腾. 组网雷达弹道目标三维进动特征提取 [J]. J4, 2015, 42(2): 146-151.

ZHANG Dong;FENG Cunqian;HE Sisan;TONG Ningning;LEI Teng . Extraction of three-dimensional precession features of ballistic targets in netted radar [J]. J4, 2015, 42(2): 146-151.

参考文献

［1］杨有春, 童宁宁, 冯存前, 等. 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, 39(6): 147-153. Yang Youchun, Tong Ningning, Feng Cunqian, et al. Translation Compensation and Micro-Doppler Extraction by Using the Information on the Strongest Scatter［J］. Journal of Xidian University, 2012, 39(6): 147-153. ［2］张栋, 冯存前, 贺思三, 等. 组网雷达弹道目标三维微动特征提取［J］. 空军工程大学学报：自然科学版, 2014, 15(4): 34-37. Zhang Dong, Feng Cunqian, He Sisan, et al. Extraction of Three-dimensional Micro-motion Feature from Ballistic Target in Netted Radar［J］. Journal of Air Force Engineering University: Natural Science Edition, 2014, 15(4): 34-37. ［3］ Sun Yang, Zhang Jun. Detection on Micro-Doppler Effect Based on Laser Coherent Radar［J］. Journal of Electronics, 2012, 29(1/2):56-61. ［4］ Chen V C. Spatial and Temporal Independent Component Analysis of Micro-Doppler Features ［C］//IEEE International Radar Conference. Piscataway: IEEE, 2005: 348-353. ［5］ Chen V C. Doppler Signatures of Radar Backscattering from Objects with Micro-motions［J］. IET Signal Processing, 2008, 2(3): 291-300. ［6］ Chen V C, Li F. Analysis of Micro-Doppler Signatures［J］. IEE Proceedings-Radar, Sonar and Navigation, 2003, 150(4): 271-276. ［7］高红卫, 谢良贵, 文树梁, 等. 基于微多普勒分析的弹道导弹目标进动特性研究［J］. 系统工程与电子技术, 2008, 30(1): 50-52. Gao Hongwei, Xie Lianggui, Wen Shuliang, et al. Research on Precession of Ballistic Missile Warhead Based on Micro-Doppler Analysis［J］. Systems Engineering and Electronics, 2008, 30(1): 50-52. ［8］刘进, 王雪松, 马梁, 等. 空间进动目标动态散射特性的实验研究［J］. 航空学报, 2010, 31(5): 1014-1023. Liu Jin, Wang Xuesong, Ma Liang, et al. Experiment Study on Dynamics Scattering Properties of Space Procession Target［J］. Acta Aeronautica et Astronautica Sinica, 2010, 31(5): 1014-1023. ［9］王璐, 刘宏伟. 基于时频图的微动目标运动参数提取和特征识别的方法［J］. 电子与信息学报, 2010, 32(8): 1812-1817. Wang Lu, Liu Hongwei. Method for Micro-motion Target Recognition and Motion Parameter Extraction Based on Time-frequency Analysis［J］. Journal of Electronics ＆Information Technology, 2010, 32(8): 1812-1817. ［10］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 Jinmang, 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.

[1]	李鹏,冯存前,许旭光,唐子翔. 一种利用贝叶斯优化的弹道目标微动分类网络[J]. 西安电子科技大学学报, 2021, 48(5): 139-148.
[2]	刘洁怡;张林让;赵珊珊;刘楠;于恒力. 分布式结构下主/被动雷达抗假目标干扰方法[J]. 西安电子科技大学学报, 2018, 45(3): 1-6+108.
[3]	韩勋;杜兰;刘宏伟. 窄带雷达观测下的锥体目标参数估计方法[J]. J4, 2015, 42(6): 43-48.
[4]	赵珊珊;张林让;周宇;刘楠 . 利用空间散射特性差异进行有源假目标鉴别[J]. J4, 2015, 42(2): 20-27.
[5]	左磊;李明;张晓伟. MMSE准则下部分周期数据的微多普勒参数估计[J]. J4, 2013, 40(2): 123-129.
[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]. J4, 2012, 39(6): 147-153.
[7]	陈广锋；张林让；王纯；刘高高. 复合运动目标微多普勒特征的分析和提取[J]. J4, 2011, 38(3): 55-62.

组网雷达弹道目标三维进动特征提取

Extraction of three-dimensional precession features of ballistic targets in netted radar

PDF (PC)

赞

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 7

Metrics

本文评价

推荐阅读 10