外辐射源雷达直升机旋翼参数估计方法

李宇倩; 易建新; 万显荣; 刘玉琪; 占伟杰

doi:10.12000/JR17125

外辐射源雷达直升机旋翼参数估计方法

DOI: 10.12000/JR17125

武汉大学电子信息学院武汉 430072

基金项目: 国家重点研发计划（2016YFB0502403），国家自然科学基金（61701350，61331012），湖北省科技计划（2015BCE075，2016CFA061），博士后创新人才支持计划（BX201600117）

详细信息

作者简介:
李宇倩(1992–)，女，硕士生，主要研究方向为微多普勒效应。E-mail: liyuqian1112@126.com

易建新(1989–)，男，博士，研究方向为外辐射源雷达及信号处理。E-mail: jxyi@whu.edu.cn

万显荣(1975–)，男，博士，教授，博士生导师，研究方向为外辐射源雷达系统、高频雷达系统及雷达信号处理等。E-mail: xrwan@whu.edu.cn

刘玉琪(1990–)，男，博士生，主要研究方向为雷达系统、雷达信号处理。E-mail: yqlau@whu.edu.cn

占伟杰(1993–)，男，博士生，主要研究方向为雷达系统、雷达信号处理。E-mail: 1789728315@qq.com

通讯作者:
易建新　 jxyi@whu.edu.cn

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出版历程
- 收稿日期: 2017-12-29
- 修回日期: 2018-04-23
- 网络出版日期: 2018-06-28

Helicopter Rotor Parameter Estimation Method for Passive Radar

School of Electronic Information, Wuhan University, Wuhan 430072, China

Funds: The National Key Research and Development Program (2016YFB0502403), The National Natural Science Foundation of China (61701350, 61331012), Hubei Province Science and Technology Plan (2015BCE075, 2016CFA061), Postdoctoral Innovative Talent Support Program (BX201600117)

摘要

摘要: 外辐射源雷达是一种基于第三方非合作照射源的新体制雷达系统，在微多普勒效应目标分类和识别方面具有独特的优势，而其特点也决定了微多普勒效应参数估计方法需要具有良好的抗噪性能且计算量要小。针对上述问题，该文依据外辐射源雷达直升机旋翼微动信号模型，提出了利用时频域中回波闪烁特征进行直升机旋翼参数估计的新思路。通过对时频图中正负频率轴数据的幅值分别进行累加，提取出回波闪烁参数，同时，依据微动信号内在特性构建字典矩阵，利用正交匹配追踪算法实现了叶片长度、叶片数量、旋翼转速等参数的估计，相比常规Hough变换参数估计方法，该文方法更准确，更迅速。仿真和实测证明了该文方法的有效性。
- 外辐射源雷达 /
- 微多普勒效应 /
- 回波闪烁 /
- 时频分析 /
- 正交匹配追踪算法
Abstract: The passive radar is a new radar system based on third-party non-cooperative radiation sources, which has unique advantages in micro-Doppler target classification and recognition. Its characteristics determine that the micro-Doppler effect parameter estimation method must have a good anti-noise performance and a small amount of calculation. In view of these considerations, this study presents a new idea of helicopter rotor parameter estimation using an echo flicker in the time-frequency domain based on the micro-motion signal model for the passive radar. The echo flicker parameters are extracted by accumulating the amplitudes of the positive and negative frequency axis data in the time-frequency diagram. The dictionary matrix is constructed based on the inherent characteristics of the micro-motion signals. The blade length, blade number, rotor speed, and other parameters are estimated using the orthogonal matching pursuit algorithm. Compared with the method based on the conventional Hough transform, the proposed method is more accurate and more rapid. The simulation and experimental results prove the feasibility of this method.
- Passive radar /
- Micro-Doppler /
- Echo flicker /
- Time-frequency analysis /
- Orthogonal matching pursuit algorithm

HTML全文

图 1 外辐射源雷达直升机旋翼回波模型

Figure 1. Model of helicopter rotors echo for passive radar

下载: 全尺寸图片幻灯片

图 2 旋翼回波信号时频分析

Figure 2. Time-frequency analysis of rotors echo

下载: 全尺寸图片幻灯片

图 3 本文方法参数估计结果

Figure 3. Parameter estimation by this article method

下载: 全尺寸图片幻灯片

图 4 常规Hough变换参数估计结果

Figure 4. Parameter estimation by traditional Hough transform

下载: 全尺寸图片幻灯片

图 5 实验场景图

Figure 5. Experimental scene map

下载: 全尺寸图片幻灯片

图 6 本文方法参数估计结果

Figure 6. Parameter estimation by this article method

下载: 全尺寸图片幻灯片

表 1 外辐射源雷达直升机旋翼回波模型仿真参数

Table 1. Simulation parameters of helicopter rotor echo model for passive radar

信号载频	叶片数	叶片长度	旋转速率	发射站方位角	接收站方位角	发射站仰角	接收站仰角	SNR
658 MHz	3	5 m	200 rpm	33°	76°	23°	23°	–5 dB

下载: 导出CSV

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