组网雷达中弹道目标微动特征提取与识别综述

冯存前; 李靖卿; 贺思三; 张豪

doi:10.12000/JR15084

组网雷达中弹道目标微动特征提取与识别综述

doi: 10.12000/JR15084

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:
冯存前(1975-),男,空军工程大学教授,博士生导师,研究方向为雷达信号处理、雷达电子战新技术。E-mail:fengcunqian@sina.com;李靖卿(1989–),男,2013年于空军工程大学获军事学学士学位,现为空军工程大学雷达电子防御研究室研究生,研究方向为雷达信号处理。E-mail:lijingqing_1025@126.com;贺思三(1981-),男,空军工程大学讲师,研究方向为雷达信号处理、复杂运动目标成像。E-mail:hesisan@163.com;张豪(1989-),男,2013年于空军工程大学获军事学学士学位,现为空军工程大学雷达信号与信息处理实验室研究生,研究方向为雷达信号处理。E-mail:875971393@qq.com

通讯作者:
李靖卿lijingqing_1025@126.com

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- 被引次数: 0
出版历程
- 收稿日期: 2015-07-03
- 修回日期: 2015-11-17
- 网络出版日期: 2015-12-28

Micro-Doppler Feature Extraction and Recognition Based on Netted Radar for Ballistic Targets

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 National Natural Science Foundation of China (61372166, 61501495), The Natural Science Foundation Research Project of Shaanxi Province (2014JM8308)

摘要

摘要: 针对组网雷达中弹道中段目标微动特征难以识别与分辨的问题,文中分析了弹道中段目标微动特征的差异,总结了基于低分辨雷达网和高分辨成像雷达网的雷达目标微动特征提取技术在反导预警探测中的应用与研究现状,并分析了此类识别手段的优缺点。在此基础上,探讨了今后低分辨雷达和高分辨成像雷达相结合的混合体制雷达网在弹道中段目标识别中的主要研究方向,为进一步推动组网雷达中弹道目标识别研究提供参考和基础。
- 微动特征 /
- 微多普勒 /
- 成像特征 /
- 混合体制雷达网
Abstract: This study examines the complexities of using netted radar to recognize and resolve ballistic midcourse targets. The application of micro-motion feature extraction to ballistic mid-course targets is analyzed, and the current status of application and research on micro-motion feature recognition is concluded for singlefunction radar networks such as low- and high-resolution imaging radar networks. Advantages and disadvantages of these networks are discussed with respect to target recognition. Hybrid-mode radar networks combine low- and high-resolution imaging radar and provide a specific reference frequency that is the basis for ballistic target recognition. Main research trends are discussed for hybrid-mode networks that apply micromotion feature extraction to ballistic mid-course targets.
- Micro-motion feature /
- Micro-Doppler /
- Imaging feature /
- Hybrid-scheme radar network

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参考文献(73)

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