机载双基地极化敏感阵列多干扰抑制

夏德平; 张良; 吴涛; 孟祥东

doi:10.12000/JR21212

机载双基地极化敏感阵列多干扰抑制

DOI: 10.12000/JR21212

夏德平^{1, 2, ,},
张良^{1, 2, ,},
吴涛²,
孟祥东²

1.
西安电子科技大学雷达信号处理国家重点实验室西安 710071
2.
南京电子技术研究所南京 210039

基金项目: 国家部委基金

详细信息

作者简介:
夏德平(1977–)，男，江苏盐城人，西安电子科技大学博士生，研究员，中国电科高级专家。主要研究方向为机载雷达系统设计和数字阵列等

张　良(1966–)，男，江苏南京人，2000年在西安电子科技大学获得博士学位，博士生导师，研究员，中国电科首席科学家。主要研究方向为机载雷达系统设计和信号处理等

吴　涛(1975–)，男，江苏南京人，本科，研究员，中国电科高级专家。主要研究方向为机载雷达系统设计和信号处理等

孟祥东(1980–)，男，山东烟台人，2009年在西安电子科技大学获得博士学位，高级工程师，中国电科高级专家。主要研究方向为机载雷达信号处理等

通讯作者:
夏德平 xiadeping@cetc.com.cn

张良 zhangliang@cetc.com.cn

责任主编：谢文冲 Corresponding Editor: XIE Wenchong
中图分类号: TN974
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- 被引次数: 0
出版历程
- 收稿日期: 2021-12-30
- 修回日期: 2022-03-15
- 网络出版日期: 2022-04-06
- 刊出日期: 2022-06-28

A Multiple Interference Suppression Algorithm Based on Airborne Bistatic Polarization Radar

XIA Deping^{1, 2
, ,},
ZHANG Liang^{1, 2
, ,},
WU Tao²,
MENG Xiangdong²

1.
National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China
2.
Nanjing Research Institute of Electronics Technology, Nanjing 210039, China

Funds: The National Ministries Foundation

More Information

Corresponding author: XIA Deping, xiadeping@cetc.com.cn; ZHANG Liang, zhangliang@cetc.com.cn

摘要

摘要: 为了破解雷达主瓣干扰尤其是多个主副瓣干扰同时抑制的难题，该文利用目标极化散射特性在不同入射角存在差异而干扰近似相同的特点，将极化信息应用到机载双基地雷达，通过构建机载双基地极化敏感阵列来实现主副瓣干扰抑制。该方法主要通过双基地-极化分级抑制来实现。首先重构协方差矩阵遮蔽主瓣干扰来分别抑制双基地主辅雷达副瓣干扰，然后将辅雷达接收数据时域对齐后送主雷达，最后修正主辅雷达主瓣干扰导向矢量，并利用极化对消实现主瓣干扰抑制。仿真结果表明：利用双基地-极化分级抑制方法可实现多个主副瓣干扰同时抑制，大幅提升雷达系统抗干扰能力。
- 机载双基地雷达 /
- 极化散射矩阵 /
- 重构协方差矩阵 /
- 分级抑制主副瓣干扰
Abstract: To solve the problem of the simultaneous suppression of main-lobe and side-lobe interferences, this study applies polarization information as input to the airborne bistatic radar and constructs an airborne bistatic polarization-sensitive array. The method is mainly realized by bistatic polarization hierarchical suppression. First, the reconstructed covariance matrix methods are used to suppress the side-lobe interference of the primary and auxiliary radars, Further, the data received by the airborne bistatic radar are aligned in the time domain, Finally, the main-lobe interference steering vector of the primary and auxiliary radars is corrected, and polarization cancellation is used to suppress the main-lobe interference. The simulation results show that the bistatic polarization classification method can simultaneously suppress multiple main-lobe and side-lobe interferences, and considerably improve the anti-interference capability of the radar system.
- Bistatic radar system /
- Polarization Scattering Matrix (PSM) /
- Covariance matrix reconstitution /
- Main-lobe and side-lobe interference suppression

HTML全文

图 1 机载双基地极化敏感阵列信号模型

Figure 1. Signal model of airborne bistatic polarization-sensitive array

下载: 全尺寸图片幻灯片

图 2 主副瓣干扰同时抑制流程

Figure 2. The main-lobe and side-lobe interference suppressed simultaneously

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图 3 主辅雷达凹口构建仿真

Figure 3. Simulation of the primary and auxiliary radar notch construction

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图 4 主雷达自适应响应方向图

Figure 4. Adaptive response pattern of the primary radar

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图 5 辅雷达自适应响应方向图

Figure 5. Adaptive response pattern of the auxiliary radar

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图 6 主辅雷达的目标空间-极化分布

Figure 6. The space-polarization of targets of the primary and auxiliary radar

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图 7 主瓣干扰对消后目标仿真

Figure 7. Simulation of target under the main-lobe interference suppressed

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表 1 干扰与目标参数

Table 1. Interference and target parameters

类型	距主雷达距离(km)	入射角度(º)	距辅雷达距离(km)	入射角度(º)	干噪比/信噪比(dB)
干扰1	350.0	(85.9, –1)	350.0	(94.1, –1)	40
干扰2	300.0	(50.0, –1)	270.5	(58.2, –1)	40
干扰3	150.0	(80.4, –2)	150.0	(99.6, –2)	15
目标1	148.0	(80.3, –2)	148.0	(99.7, –2)	25

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