基于广义S变换的空间锥体进动微多普勒分析

雷 鹏; 王 俊; 孙进平; 李少洪

基于广义S变换的空间锥体进动微多普勒分析

北京航空航天大学电子信息工程学院, 北京 100191

详细信息

作者简介:
雷鹏(1985-),男,陕西渭南人,博士生,buaaray@gmail.com.

中图分类号: TN 959.1⁺7
计量
- 文章访问数: 3685
- HTML全文浏览量: 219
- PDF下载量: 1211
- 被引次数: 0
出版历程
- 收稿日期: 2009-08-17
- 网络出版日期: 2010-09-30

Micro-Doppler analysis of spatial coning precession based on generalized S transform

School of Electronics and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

摘要

摘要: 锥体进动特性是用于空间目标识别的重要依据之一.为了研究这一问题,提出一种基于广义S变换的空间锥体进动微多普勒特性分析方法.根据锥体进动的物理运动过程建立了相应的数学模型,推导出锥体进动微多普勒频率的理论表达式,并通过仿真结果验证其正确性.该模型采用共原点的目标多坐标体系,使其仅存在旋转关系,从而简化了模型的结构与计算复杂性.在此基础上,利用广义S变换实现了对模拟雷达进动回波的微多普勒特性分析.在不同信噪比条件下的仿真结果表明:该方法时频分辨性较好,而且具有较高的鲁棒性.
- 微多普勒 /
- 广义S变换 /
- 空间目标 /
- 锥体进动 /
- 鲁棒性
Abstract: Precession characteristic is one of the significant properties for cone-shaped spatial target recognition. To analysis the micro-Doppler feature induced by precession, a method based on the generalized S transform was proposed. In the mathematical model of coning precession, the multi-coordinate system with the same origin was used to simplify model structure and computation complexity. Then the theoretical expression of the micro-Doppler due to precession was derived. The validity of the model was confirmed by computer simulation. Based on simulated radar data for precession cone, the generalized S transform was introduced and used to analyze the micro-Doppler feature in the condition of different signal to noise ratio (SNR). The experimental results in the joint time-frequency domain show that the method has large advantage in the time-frequency resolution, and is robust for the complicated micro-Doppler signal at low SNR.
- micro-Doppler /
- generalized S transform /
- spatial target /
- coning precession /
- robustness

HTML全文

参考文献(1)

[1] 刘丽华.弹道导弹中段雷达特性分析与提取方法研究 .长沙:国防科学技术大学研究生院,2006 Liu Lihua.Analysis and extraction of radar characteristics for midcourse ballistic missiles Changsha: Graduate School of National University of Defense Technology,2006(in Chinese) [2] Chen V C,Ling Hao.Time-frequency transforms for radar imaging and signal analysis[M].Boston:Artech House,2002:173-192 [3] Chen V C,Li F,Ho S S,et al.Micro-Doppler effect in radar: phenomenon,model and simulation study[J].IEEE Transactions on Aerospace and Electronic Systems,2006,42(1): 2-21 [4] 陈行勇,黎湘,郭桂荣,等.微进动弹道导弹目标雷达特征提取[J].电子与信息学报,2006,28(4):643-646 Chen Hangyong,Li Xiang,Guo Guirong,et al.Radar feature extraction of micro-precession ballistic missile warhead[J].Journal of Electronics & Information Technology,2006,28(4):643-646(in Chinese) [5] 高红卫,谢良贵,文树梁,等.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,2008,23(4):775-780 Gao Hongwei,Xie Lianggui,Wen Shuliang,et al.Research on radar identification of warhead and decoys based on micro-Doppler signature[J].Chinese Journal of Radio Science,2008,23(4):775-780(in Chinese) [6] Lei Jiajin,Lu Chao.Target classification based on micro-Doppler signatures //Proceedings of the 2005 IEEE International Radar Conference.Arlington:IEEE,2005:179-183 [7] Eugene Butikov.Precession and nutation of a gyroscope[J].European Journal of Physics,2006,27(5):1-10 [8] Stockwell R G,Mansinha L,Lowe R P.Localization of the complex spectrum: the S transform[J].IEEE Transactions on Signal Processing,1996,44(4):998-1001 [9] 陈学华,贺振华,黄德济.广义S变换及其时频滤波[J].信号处理,2008,24(1): 28-31 Chen Xuehua,He Zhenhua,Huang Deji.Generalized S transform and its time-frequency filtering[J].Signal Processing,2008,24(1):28-31(in Chinese)

施引文献

资源附件(0)

访问统计