弹道中段多目标微多普勒分离方法

王义哲; 冯存前; 李靖卿; 孟凡杰

doi:10.13700/j.bh.1001-5965.2016.0038

弹道中段多目标微多普勒分离方法

doi: 10.13700/j.bh.1001-5965.2016.0038

王义哲¹,
冯存前^{1, 2, ,},
李靖卿¹,
孟凡杰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:

国家自然科学基金 61372166, 61501495

陕西省自然科学基础研究计划 2014JM8308

详细信息

作者简介:
王义哲, 男, 硕士研究生。主要研究方向:雷达信号处理、雷达电子战新技术

李靖卿, 男, 硕士。主要研究方向:雷达信号处理、雷达电子战新技术

孟凡杰, 男, 硕士研究生。主要研究方向:雷达信号处理、雷达电子战新技术

通讯作者:
冯存前, 男, 博士, 教授, 硕士生导师。主要研究方向:雷达信号处理、雷达电子战新技术。E-mail:fengcunqian@sina.com

中图分类号: TN957
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- 文章访问数: 861
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- 被引次数: 0
出版历程
- 收稿日期: 2016-01-11
- 录用日期: 2016-02-29
- 网络出版日期: 2017-01-20

Micro-Doppler resolution of multi-ballistic targets in midcourse

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:

National Natural Science Foundation of China 61372166, 61501495

Natural Science Basic Research Plan in Shaanxi Province of China 2014JM8308

More Information

Corresponding author: E-mail:fengcunqian@sina.com

摘要

摘要:
针对窄带雷达获取的多目标回波中微多普勒信息相互交叠、难以分离与提取的问题，提出了一种基于拍卖算法和小波分析相结合的多目标微多普勒分离方法。在滑动散射模型的基础上，首先通过对回波信号进行预处理得到时频骨架，再根据弹道目标多普勒的变化规律及估计的进动周期定义路径长度，利用拍卖算法提取出多条多普勒曲线对应的最短路径，最后采用小波分析法消除多普勒曲线中的剩余平动分量，实现了多目标微多普勒的分离。仿真结果表明，该方法能够较好地解决交叉区域的路径选择问题，且抗噪性较好，适用于多种微动形式。
- 多目标分离 /
- 弹道目标 /
- 微多普勒 /
- 拍卖算法 /
- 小波分析
Abstract:
To solve the problems of overlapping and difficult separation of micro-Doppler information of multi-ballistic target echo in narrow-band radar, a novel method based on auction algorithm and wavelet analysis is proposed to separate micro-Doppler of multi-ballistic targets. First, based on the sliding scattering model, the time-frequency skeleton is obtained by preprocessing. Then, the path length is defined by variation rules of Doppler and estimated precession period. The shortest paths corresponding to Doppler curves are extracted by auction algorithm. Finally, micro-Doppler resolution of multi-ballistic targets is realized after translational motion compensation by wavelet analysis. Simulation results indicate that the method can solve path selection problems well in intersection region, and is suitable for various forms of micro-motion.
- multi-ballistic targets resolution /
- ballistic targets /
- micro-Doppler /
- auction algorithm /
- wavelet analysis

HTML全文

图 1 弹道进动多目标微动模型

Figure 1. Ballistic multi-targets precession model

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图 2 多尺度小波分析

Figure 2. Multi-scale wavelet analysis

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图 3 算法流程图

Figure 3. Algorithm flowchart

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图 4 初始时频图

Figure 4. Original time-frequency pattern

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图 5 截取的时频骨架

Figure 5. Selective time-frequency skeleton

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图 6 提取的最短路径

Figure 6. Extracted shortest paths

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图 7 小波分解得到的平均趋势

Figure 7. Average trend from wavelet decomposition

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图 8 消趋后平滑结果

Figure 8. Result after eliminating trend and smoothing

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图 9 文献^[5] Viterbi算法提取结果

Figure 9. Extracted result using Viterbi algorithm inRef. ^[5]

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图 10 不同信噪比条件下本文方法与文献^[5] Viterbi算法性能分析

Figure 10. Performance analysis by proposed method andViterbi algorithm in Ref. ^[5] under different SNRs

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