| 引用本文: | 任博,罗笑冰,邓方刚,等.应用极化聚类中心设计快速自适应极化滤波器.[J].国防科技大学学报,2015,37(4):87-92.[点击复制] |
| REN Bo,LUO Xiaobing,DENG Fanggang,et al.Design of fast adaptive polarization filters utilizing polarizing cluster center[J].Journal of National University of Defense Technology,2015,37(4):87-92[点击复制] |
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| 应用极化聚类中心设计快速自适应极化滤波器 |
| 任博1,2, 罗笑冰3, 邓方刚4, 王国玉1 |
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(1. 国防科技大学 电子信息系统复杂电磁环境效应国家重点实验室， 湖南 长沙410073;2.
2. 国防科技大学 电子科学与工程学院， 湖南 长沙 410073;3.2. 国防科技大学 电子科学与工程学院， 湖南 长沙 410073;4.3.武汉军事代表局， 湖北 武汉 430077)
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| 摘要: |
| 针对传统自适应极化滤波算法存在收敛速度慢、迭代步长因子选取困难等问题，采用极化聚类中心估计理论设计了一种快速自适应极化滤波器，实现了对极化雷达回波中的干扰信号逐脉冲地自适应精确对消。滤波器通过距离单元选通获取干扰信号样本，对样本极化聚类中心的直接计算能够快速估计干扰信号在当前脉冲内极化状态，依据干扰输出功率最小原则最终实现快速滤波过程，相比于传统极化滤波算法有更快的收敛速度和更稳定的干扰抑制性能。仿真对比实验结果验证了该方法的快速有效性。 |
| 关键词: 极化自适应滤波 极化聚类中心 脉内滤波 |
| DOI：10.11887/j.cn.201504015 |
| 投稿日期：2014-08-25 |
| 基金项目:国家自然科学基金青年科学基金资助项目（41301490） |
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| Design of fast adaptive polarization filters utilizing polarizing cluster center |
| REN Bo1,2, LUO Xiaobing3, DENG Fanggang4, WANG Guoyu1 |
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(1.State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics & Information System, Changsha 410073, China;2.
2.College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China;3.2.College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China;4.3.Wuhan Military Representative Bureau, Wuhan 430077, China)
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| Abstract: |
| According to the traditional adaptive polarization filter algorithms had problems of low convergence speed and the iterative factor being hard to choose, a fast adaptive polarization filter was designed by utilizing the estimation theory of polarizing cluster center. The interference signal in polarimetric radar reception could be cancelled accurately and adaptively pulse-by-pulse. The range-gated technique in-pulse was adopted to obtain the interference signal samples. The current polarization state of the interference signal was estimated rapidly by computing the polarizing cluster center directly. Based on the principal of minimum interference output power, the fast filter process could be carried out. Compared to the traditional polarization filter, it is faster in convergence and more stable to the performance of interference suppression. Rapidity and efficiency of the filter algorithm are validated by simulation results. |
| Keywords: polarization adaptive filter polarizing cluster center filter in-pulse |
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