基于干扰重构和盲源分离的混合极化抗SMSP干扰

周长霖; 王春阳; 宫健; 谭铭; 李欣; 包磊

doi:10.13700/j.bh.1001-5965.2020.0326

基于干扰重构和盲源分离的混合极化抗SMSP干扰

doi: 10.13700/j.bh.1001-5965.2020.0326

周长霖¹,
王春阳^1, ,,
宫健¹,
谭铭¹,
李欣²,
包磊³

1.
空军工程大学防空反导学院, 西安 710051
2.
中国人民解放军 75832部队, 广州 510515
3.
国防科技大学信息通信学院, 武汉 430019

基金项目:

中国博士后科学基金 2019M662257

航空科学基金 201901096002

详细信息

通讯作者:
王春阳, E-mail: wangcy_kgd@163.com

中图分类号: TN974
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- 被引次数: 0
出版历程
- 收稿日期: 2020-07-07
- 录用日期: 2020-09-30
- 网络出版日期: 2021-09-20

Hybrid polarization anti-SMSP jamming based on jamming reconstruction and blind source separation

1.
Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China
2.
Unit 75832 of PLA, Guangzhou 510515, China
3.
College of Information and Communication, National University of Defense Technology, Wuhan 430019, China

Funds:

China Postdoctoral Science Foundation 2019M662257

Aeronautical Science Foundation of China 201901096002

More Information

Corresponding author: WANG Chunyang, E-mail: wangcy_kgd@163.com

摘要

摘要:
线性调频（LFM）信号是现代雷达常用的发射信号，可以有效提高雷达距离分辨率和探测距离，然而频谱弥散（SMSP）干扰应用于主瓣自卫式干扰时，干扰信号与目标在时域、频域和空域高度重合，是一种能够有效对抗LFM信号的干扰样式。利用干扰信号与目标回波信号极化信息的差异，引入了混合极化雷达系统信号接收模型，提出了基于干扰重构和盲源分离的抗SMSP干扰算法，实现了对干扰的抑制。仿真结果表明：所提算法不仅降低了计算量而且在干信比（JSR）为25 dB的情况下，能够有效实现干扰抑制。
- 混合极化雷达 /
- 干扰重构 /
- 盲源分离 /
- 频谱弥散(SMSP)干扰 /
- 主瓣干扰
Abstract:
Linear Frequency Modulation (LFM) signal is a commonly used transmission signal of modern radar, which can effectively improve the range resolution and speed resolution. However, when Smeared Spectrum (SMSP) jamming is applied to the main lobe self-defense jamming, the jamming signal and the target height overlap in time domain, frequency domain and the airspace, which is an jamming pattern that can effectively combat LFM signals. In this paper, the difference of polarization information between the jamming signal and the target echo signal was used to construct a signal reception model of the hybrid polarization radar system. An anti-SMSP jamming algorithm based on jamming reconstruction and blind source separation was proposed to achieve jamming suppression. The simulation results show that the method proposed in this paper not only reduces the amount of calculation but also can effectively achieve jamming suppression when the jamming signal ratio is 25 dB.
- hybrid polarization radar /
- jamming reconstruction /
- blind source separation /
- Smeared Spectrum (SMSP) jamming /
- main lobe jamming

HTML全文

图 1 接收信号与目标信号脉冲压缩

Figure 1. Pulse compression of received signal and target signal

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图 2 接收信号自相关

Figure 2. Autocorrelation of received signal

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图 3 第1次共轭相乘和分段平均

Figure 3. The first conjugate multiplication and piecewise averaging

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图 4 第2次共轭相乘和分段平均

Figure 4. The second conjugate multiplication and piecewise averaging

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图 5 减去重构干扰后脉冲压缩

Figure 5. Pulse compression after subtracting reconstruction interference

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图 6 滑动平均的信号分离结果

Figure 6. Signal separation results of sliding mean

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图 7 滑动平均信号分离后脉冲压缩

Figure 7. Pulse compression after moving average signal separation

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图 8 干扰重构的信号分离结果

Figure 8. Signal separation results of interference reconstruction

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图 9 干扰重构信号分离后脉冲压缩

Figure 9. Pulse compression after interference reconstruction signal separation

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图 10 两种算法的分离性能

Figure 10. Separation performance of two algorithms

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图 11 不同JSR下的分离性能

Figure 11. Separation performance under different JSR

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图 12 相位误差对分离性能影响

Figure 12. Effect of phase error on separation performance

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表 1 两种方法相关系数对比

Table 1. Correlation coefficient comparison between two methods

方法	相关系数
干扰重构	0.04
滑动平均	0.88

下载: 导出CSV

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