| 摘要: |
| 结合雷达辐射源识别的军事需求和近几年取得的研究进展，以雷达辐射源识别中最核心的3个方面为研究对象，综述相关算法的研究现状与发展。针对低信噪比环境、分类器能力不足和单传感器识别的缺陷，从辐射源特征提取、分类识别和多源融合识别等方面详述了目前算法的研究思路和性能，引入当前热点模式识别算法并分析其可借鉴性。最后,指出了在辐射源识别研究领域中仍存在的问题，并展望了下一步的研究方向。 |
| 关键词: 雷达辐射源识别 特定辐射源识别 多传感器融合 特征提取 脉冲描述字 |
| DOI：10.3969/j.issn.1001-893x.2017.08.020 |
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| 基金项目:国家高技术研究发展计划（863计划）项目（2014AAxx14061）;国家自然科学基金资助项目（61501484） |
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| An overview of radar emitter recognition algorithms |
| ZHOU Zhiwen,HUANG Gaoming,CHEN Haiyang,GAO Jun |
| (College of Electronic Engineering,Naval University of Engineering,Wuhan 430033,China) |
| Abstract: |
| According to the military demands and latest research progress in radar emitter recognition,three core aspects of emitter recognition are taken as the research object and survey is therefore developed on the status and development of relevant algorithms. For the low signal-to-noise ratio(SNR),deficiency of classifier and limitations of single sensor,detailed analysis is presented on emitter feature extraction,classification and multi-source fusion recognition in terms of ideas and performance. In addition,current hot pattern recognition algorithms are introduced and references are analyzed. Finally,other remained problems in this field and the prospect of future research direction are demonstrated. |
| Key words: radar emitter recognition specific emitter identification multi-sensory fusion feature extraction pulse description word |
《电讯技术》编辑部 