| 组网雷达中弹道目标微动特征提取与识别综述 |
| |
| 引用本文： | 冯存前,李靖卿,贺思三,张豪.组网雷达中弹道目标微动特征提取与识别综述[J].雷达学报,2015,4(6):609-620. |
| |
| 作者姓名： | 冯存前 李靖卿 贺思三 张豪 |
| |
| 作者单位： | 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) |
| |
| 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。
|
| 关 键 词： | 微动特征 微多普勒 成像特征 混合体制雷达网 |
| 收稿时间： | 2015-07-03 |
Micro-Doppler Feature Extraction and Recognition Based on Netted Radar for Ballistic Targets |
| |
| Feng Cun-qian,Li Jing-qing,He Si-san,Zhang Hao.Micro-Doppler Feature Extraction and Recognition Based on Netted Radar for Ballistic Targets[J].Journal of Radars,2015,4(6):609-620. |
| |
| Authors: | Feng Cun-qian Li Jing-qing He Si-san Zhang Hao |
| |
| Institution: | 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) |
| |
| 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. |
| |
| Keywords: | |
|
| 点击此处可从《雷达学报》浏览原始摘要信息 |
| 点击此处可从《雷达学报》下载免费的PDF全文 |
|
