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多功能雷达建模中的雷达字提取技术研究
引用本文:刘海军,樊昀,李悦,柳征,周一宇.多功能雷达建模中的雷达字提取技术研究[J].国防科技大学学报,2010,32(2):91-96.
作者姓名:刘海军  樊昀  李悦  柳征  周一宇
作者单位:1. 国防科技大学,电子科学与工程学院,湖南,长沙,410073
2. 总参第54研究所,北京,100083
3. 61541部队,北京,100094
摘    要:雷达字为有限数目脉冲的固定排列,能够反映多功能雷达的工作状态和威胁等级。针对漏脉冲和虚假脉冲所造成的雷达字不能正确提取的问题,提出了一种基于三级匹配的雷达字提取算法。该算法首先对分选后的辐射源脉冲列进行数据库级的匹配过滤,确定模板雷达范围,然后分别利用脉冲配对和序列相关技术进行精确识别。仿真实验表明,该方法不仅能提取多功能雷达辐射源的雷达字,而且对噪声环境具有较好的适应能力。

关 键 词:多功能雷达建模  雷达字提取  匹配  识别  漏脉冲  虚假脉冲
收稿时间:2009/9/10 0:00:00

Research on Extracting of Radar Words in Modeling of Multi-function Radar
LIU Haijun,Fan Yun,LI Yue,LIU Zheng and ZHOU Yiyu.Research on Extracting of Radar Words in Modeling of Multi-function Radar[J].Journal of National University of Defense Technology,2010,32(2):91-96.
Authors:LIU Haijun  Fan Yun  LI Yue  LIU Zheng and ZHOU Yiyu
Institution:1.College of Electronic Science and Engineering, National Univ. of Defense Technology, Changsha 410073, China;2.No. 54 Institute, General Staff Department of PLA, Beijing 100083, China;3.Unit 61541, Beijing 100094, China;1.College of Electronic Science and Engineering, National Univ. of Defense Technology, Changsha 410073, China;1.College of Electronic Science and Engineering, National Univ. of Defense Technology, Changsha 410073, China
Abstract:Radar word is a fixed arrangement of finite number of pulses that can reflect the work modes and threat levels of hostile multi-function radars. To deal with the problem of radar words extraction with reference to dropped pulses and false pulses, this paper proposes a new extracting method based on three-level matching (TLM) algorithm, which can first perform a coarse search by identifying the radars from the radar template library that have character parameters similar to those present in the deinterleaved pulse stream of the emitter, and then make use of the technology of pulse pairing and sequence cross correlation for precise identification. A number of simulations are presented to demonstrate the radar words extracting capability of the TLM algorithm. Simulation results show that the proposed algorithm can not only extract the radar words correctly, but also have better adaptability to noisy environment.
Keywords:modeling of multi-function radar  extracting of radar words  matching  identification  dropped pulses  false pulses
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