多频调频稀疏分解的微动目标参数估计方法

周叶剑; 张磊; 菅毛; 王虹现; 邢孟道

doi:10.11999/JEIT170163

多频调频稀疏分解的微动目标参数估计方法

doi: 10.11999/JEIT170163

基金项目:

国家自然科学基金(61301280, 61301293)

计量
- 文章访问数: 1227
- HTML全文浏览量: 98
- PDF下载量: 230
- 被引次数: 0
出版历程
- 收稿日期: 2017-02-27
- 修回日期: 2017-06-22
- 刊出日期: 2017-10-19

Micro-motion Estimation for Ballistic Targets with Multi-frequency Chirp Decomposition

Funds:

The National Natural Science Foundation of China (61301280, 61301293)

摘要

摘要: 精细化的回波微动调制分析是提取弹道目标运动几何特性的重要技术手段。该文提出一种多频点-调频傅里叶稀疏分解的微动估计方法来分析目标的时频特性。首先，该文介绍弹道目标进动回波微多普勒的一般表达；平动补偿后对回波局部分段并采用调频率傅里叶稀疏分解来估计局部微多普勒调频参数，有效利用了多频点回波的结构稀疏性，联合多频点稀疏分解提高算法稳健性；最后，拼接主频段信号各分段估计结果得到目标的微动曲线。电磁仿真数据验证了算法的有效性和稳健性，可用于弹道目标的微动分析、多目标识别等任务。
- 微动特性 /
- 调频傅里叶 /
- 时频分析 /
- 多频点信号 /
- 稀疏分解
Abstract: Accurate micro-motion characteristics analysis is an important technique to extract the geometrical characteristics of ballistic targets. In this paper, a multi-frequency Chirp sparse decomposition method for time- frequency analysis of micro-motion targets is proposed. First, the echo micro-Doppler expression of the equivalent scattering center model with the procession motion is deduced. After the translation compensation process, the multi-frequency echo are segmented and used to estimate the micro-motion characteristics with the Chirp sparse decomposition algorithm. While the sparseness of multi-frequency echo are effectively utilized, and the joint multi-frequency estimation improves the robustness of the algorithm. Finally, target,s micro-motion curve are obtained by stitching the segments estimation results. The validity and robustness of the algorithm are verified by electromagnetic simulation data and can be applied to time-frequency analysis and recognition of ballistic target.
- Micro-motions characteristics /
- Chirp Fourier /
- Time-frequency analysis /
- Multi-frequency /
- Sparse decomposition

HTML全文

参考文献(24)

HUSAIN E D. Ballistic missile defense review report[R]. USA: Department of Defense, 2010.

LEI Peng, SUN Jinping, WANG Jun, et al. Analysis of radarmicro-Doppler signatures from rigid targets in space based oninertial parameters[J]. IET Radar, Sonar Navigation, 2011, 5(2): 93-102. doi: 10.1049/iet-rsn.2009. 0266.

肖金国, 杜兰, 韩勋, 等. 基于参数化时频分析的进动锥裙目标瞬时微多普勒频率提取方法[J]. 电子与信息学报, 2016, 38(1): 90-96. doi: 10.11999/JEIT150505.

XIAO Jinguo, DU Lan, HAN Xun, et al. Micro-Doppler frequency extraction for cone-skirt shaped target with precession based on parameterized time-frequency analysis [J]. Journal of Electronics Information Technology, 2016, 38(1): 90-96. doi: 10.11999/JEIT150505.

GAO Hongwei, XIE Lianggui, WEN Shuliang, et al. Micro- Doppler signature extraction from ballistic target with micro- motions[J]. IEEE Transactions on Aerospace and Electronic Systems, 2010, 46(4): 1969-1982. doi: 10.1109/TAES.2010. 5595607.

冯德军, 刘进, 丹梅. 弹道中段目标 RCS 周期特性及其估计方法[J]. 宇航学报, 2008, 29(1): 362-365. doi: 10.3873/j.issn. 1000-1328.2008.01.067.

FENG Dejun, LIU Jin, and DAN Mei. RCS periodicity of ballistic target in midcourse and its estimation algorithms[J]. Journal of Astronautics, 2008, 29(1): 362-365. doi: 10.3873/ j.issn.1000-1328.2008.01.067.

韩勋, 杜兰, 刘宏伟, 等. 窄带雷达观测下的锥体目标参数估计方法[J]. 西安电子科技大学学报(自然科学版), 2015, 42(6): 43-48. doi: 10.3969/j.issn.1001-2400.2015.06.008.

HAN Xun, DU Lan, LIU Hongwei, et al. Parameter estimation method for the cone-shaped target under narrow- band observation[J]. Journal of Xidian University, 2015, 42(6): 43-48. doi: 10.3969/j.issn.1001-2400.2015.06.008.

LIU Lihua, MCLERNON D, GHOGHO M, et al. Ballistic missile detection via micro-Doppler frequency estimation from radar return[J]. Digital Signal Processing, 2012, 22(1): 87-95. doi: 10.1016/j.dsp.2011.10.009.

束长勇, 陈世春, 吴洪骞, 等. 基于ISAR像序列的锥体目标进动及结构参数估计[J]. 电子与信息学报, 2015, 37(5): 1078-1084. doi: 10.11999/JEIT141061.

SHU Changyong, CHEN Shichun, WU Hongqian, et al. Precession and structure parameters estimation of precession cone target based on ISAR image sequence[J]. Journal of Electronics Information Technology, 2015, 37(5): 1078-1084. doi: 10.11999/JEIT141061.

HE Sisan, ZHAO Huining, ZHOU Jianxiong, et al. The optimal window length of STFT for sine modulated signal[C]. IET International Radar Conference, Guilin, China, 2009: 1-3.

XIA Xianggen. Discrete chirp-Fourier transform and its application to chirp rate estimation[J]. IEEE Transactions on Signal Processing, 2000, 48(11): 3122-3133. doi: 10.1109/ 78.875469.

CHOI Ino, PARK Sanghong, KIM Siho, et al. Estimation of the micro-motion parameters of a missile warhead using a micro-Doppler profile[C]. IEEE Radar Conference 2016, Philadelphi, PA, USA, 2016: 1-5.

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(自然科学版), 2012, 39(6): 147-153. doi: 10.3969/j.issn.1001-2400.2012.06. 024.

YANG Youchun, DONG 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. doi: 10.3969/j.issn. 1001-2400.2012.06.024.

梁福来, 黄晓涛, 雷鹏正. 一种新的多频段雷达信号相干算法[J]. 信号处理, 2010, 26(6): 863-868. doi: 10.3969/j.issn.1003- 0530.2010.06.012.

LIANG Fulai, HUANG Xiaotao, LEI Pengzheng, et al. A novel coherent algorithm of multiband radar echo[J]. Signal Procssing, 2010, 26(6): 863-868. doi: 10.3969/j.issn.1003- 0530.2010.06.012.

束咸荣, 何丙发. 多频段雷达[C]. 信息产业部雷达专业情报网年会, 北京, 2003: 26-32.

SHU Xianrong and HE Bingfa. Multiband radar[C]. The Annual Meeting of MIIT Radar Intelligence Network, Beijing, 2003: 26-32.

曹文杰, 张磊, 杜兰, 等. 基于瞬时频率估计的进动锥体目标微多普勒提取方法[J]. 电子与信息学报, 2015, 37(5): 1091-1096. doi: 10.11999/JEIT140985.

CAO Wenjie, ZHANG Lei, DU Lan, et al. Micro-Doppler extraction for cone-shaped target with precession based on instantaneous frequency estimation[J]. Journal of Electronics Information Technology, 2015, 37(5): 1091-1096. doi: 10.11999/JEIT140985.

SUGAVANAM Nithin and ERTIN Emre. Recovery guarantees for MIMO radar using mute-frequency LFM waveform[C]. IEEE Radar Conference, 2016, Philadelphia, PA, USA, 2016: 1-6.

施引文献

资源附件(0)

访问统计