基于窄带雷达网的弹道目标三维进动特征提取

赵双; 鲁卫红; 冯存前; 王义哲

doi:10.12000/JR15129

基于窄带雷达网的弹道目标三维进动特征提取

DOI: 10.12000/JR15129

赵双^①, ,,
鲁卫红^①,,
冯存前^①,②,,
王义哲^①,

①.
空军工程大学防空反导学院西安 710051
②.
信息感知技术协同创新中心西安 710077

基金项目:

陕西省自然科学基础研究计划 2014JM8308

国家自然科学基金 61372166

详细信息

作者简介:
赵双 (1992-), 男, 湖南湘谭人。现为空军工程大学防空反导学院硕士研究生。主要从事雷达信号处理研究。E-mail:zhaoshuanglw@163.com

鲁卫红 (1968-), 男, 河北安平人。现为空军工程大学副教授。主要从事雷达对抗、引战配合技术研究。E-mail:lwh_001@126.com

冯存前 (1976-), 男, 陕西富平人。现为空军工程大学教授, 主要从事自适应信号处理研究。E-mail:fengcunqian@sina.com

王义哲 (1992-), 男, 河南驻马店人。现为空军工程大学防空反导学院硕士研究生。主要从事雷达信号处理研究。E-mail:wangyizhe813@163.com

通讯作者:
赵双zhaoshuanglw@163.com

中图分类号: TN957
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- 被引次数: 0
出版历程
- 收稿日期: 2015-12-23
- 修回日期: 2016-03-22
- 网络出版日期: 2017-02-28

Three-Dimensional Precession Feature Extraction of Ballistic Targets Based on Narrowband Radar Network

Zhao Shuang^{①
, ,},
Lu Weihong^{①
,},
Feng Cunqian^{①,②
,},
Wang Yizhe^{①
,}

①.
Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China
②.
Collaborative Innovation Center of Information Sensing and Understanding, Xi'an 710077, China

Funds:

The Project Supported by Natural Science Basic Research Plan in Shaanxi Province of China 2014JM8308

The National Natural Science Foundation of China 61372166

摘要

摘要: 微动特征是弹道目标识别的重要特征之一。针对单一视角观测难以获取目标真实微动参数的问题，该文提出了一种基于窄带雷达网的3维进动特征提取方法。首先建立了锥体目标进动模型，在考虑散射中心遮挡的前提下，详细分析了进动引发的微多普勒频率调制特性。然后基于锥顶微多普勒频率调制系数比，实现了不同视角下散射中心匹配关联，通过构建多视角联合方程组获取了目标的3维锥旋矢量，进而利用各散射中心微多普勒频率相关性，结合频率补偿的方法对锥体特征参数进行了提取，在此基础上解算出每一时刻锥顶坐标，实现了目标空间位置的3维重构。仿真结果证明了该方法的有效性与实用性。
- 进动特征 /
- 窄带雷达 /
- 频率补偿 /
- 3维重构
Abstract: Micro-motion is a crucial feature used in ballistic target recognition. To address the problem that single-view observations cannot extract true micro-motion parameters, we propose a novel algorithm based on the narrowband radar network to extract three-dimensional precession features. First, we construct a precession model of the cone-shaped target, and as a precondition, we consider the invisible problem of scattering centers. We then analyze in detail the micro-Doppler modulation trait caused by the precession. Then, we match each scattering center in different perspectives based on the ratio of the top scattering center's micro-Doppler frequency modulation coefficient and extract the 3D coning vector of the target by establishing associated multi-aspect equation systems. In addition, we estimate feature parameters by utilizing the correlation of the micro-Doppler frequency modulation coefficient of the three scattering centers combined with the frequency compensation method. We then calculate the coordinates of the conical point in each moment and reconstruct the 3D spatial portion. Finally, we provide simulation results to validate the proposed algorithm.
- Precession feature /
- Narrowband radars /
- Frequency compensation /
- 3D reconstruction

HTML全文

图 1 锥形弹头进动模型

Figure 1. The precession model of conical warhead

下载: 全尺寸图片幻灯片

图 2 组网雷达示意图

Figure 2. The sketch map of netted radar

下载: 全尺寸图片幻灯片

图 3 3部雷达时频分布图

Figure 3. The Time-frequency Distribution figure of three radars

下载: 全尺寸图片幻灯片

图 4 3部雷达IF提取结果

Figure 4. The IF result extracted by three radars

下载: 全尺寸图片幻灯片

图 5 补偿系数求解结果

Figure 5. The solving results of compensation coefficient

下载: 全尺寸图片幻灯片

图 6 锥顶散射中心的轨迹

Figure 6. The trajectory of the top scattering center

下载: 全尺寸图片幻灯片

图 7 鲁棒性分析

Figure 7. Robustness analysis

下载: 全尺寸图片幻灯片

表 1 锥体弹头进动及结构参数估计结果

Table 1. The estimation result of cone-shaped warhead's parameters

参数	理论值	估计值	相对误差 (%)
α₁(°)	70.7288	70.7025	0.30
α₂(°)	36.8974	36.9851	0.037
α₃(°)	30.8829	30.7848	0.32
θ(°)	13	13.5579	4.29
r(m)	0.5	0.5237	4.74
h₁(m)	2.0	1.9132	4.43
h₂(m)	0.5	0.4811	3.20

下载: 导出CSV

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