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正交投影三维极化滤波
引用本文:柏智,何怡刚,王赛男,王鲁达.正交投影三维极化滤波[J].重庆大学学报(自然科学版),2018,41(3):51-57.
作者姓名:柏智  何怡刚  王赛男  王鲁达
作者单位:湖南大学 电气学院,长沙 410082;湖南电气职业技术学院,湖南 湘潭 411101 湖南电气职业技术学院,湖南 湘潭,411101 湖南大学 电气学院,长沙,410082 湘南学院 软件与通信工程学院,湖南 郴州,400042
基金项目:国家自然科学基金资助项目(61501069)。
摘    要:针对干扰和目标极化状态在Poincare球面距离很近的情况下,二维虚拟极化滤波失效的问题,提出了基于正交投影的三维极化滤波方法。该方法在传统三维极化滤波的基础上重新明确了问题的限定条件,给出了干扰抑制准则下干扰正交子空间中的一组完备正交基,这组正交基物理意义清晰,便于算法的深入扩展。在求得的子空间内,得到了干扰抑制准则下,使目标回波接收功率最大的权系数矢量,理论及仿真结果表明,文中所提算法充分挖掘了目标和干扰在极化域与空域的特性差异,算法性能较传统方法有明显改善。

关 键 词:极化滤波  正交投影  最优权值
收稿时间:2017/12/12 0:00:00

Three-dimensional polarization filtering based on orthogonal projection
BAI Zhi,HE Yigang,WANG Sainan and WANG Luda.Three-dimensional polarization filtering based on orthogonal projection[J].Journal of Chongqing University(Natural Science Edition),2018,41(3):51-57.
Authors:BAI Zhi  HE Yigang  WANG Sainan and WANG Luda
Institution:College of Electrical and Information Engineering, Hunan University, Changsha 410082, P. R. China;Hunan Electrical College of Technology, Xiangtan 411101, Hunan, P. R. China,Hunan Electrical College of Technology, Xiangtan 411101, Hunan, P. R. China,College of Electrical and Information Engineering, Hunan University, Changsha 410082, P. R. China and College of Software and Communication Engineering, Xiangnan University, Chenzhou 400042, Hunan, P. R. China
Abstract:Aiming at the failure of two-dimensional polarization filtering when the distance between the interference and the signal in the Poincare is too short, a three-dimension polarization filtering approach based on orthogonal projection is proposed in this paper.The algorithm redefines the problem on the basis of traditional methods, a pair of complete orthogonal basis in interference orthogonal subspace is obtained under the interference suppression rule, and the pair of basis has clear physical significance, which facilitates the algorithm''s expansion. In the solved subspace, the optimal weights are achieved under the rule. The theory and simulation results indicate that the proposed method can effectively suppress the polarized interference, the performance of traditional algorithm is improved.
Keywords:polarization filtering  orthogonal projection  optimal weight
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