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极化敏感阵列斜投影滤波性能分析
引用本文:田静,廖桂生,杨志伟.极化敏感阵列斜投影滤波性能分析[J].雷达学报,2013,2(3):284-291.
作者姓名:田静  廖桂生  杨志伟
作者单位:(西安电子科技大学雷达信号处理重点实验室 西安 710071)
基金项目:国家自然科学基金(60901066),预研基金(9140xxx0104);中央高校基本科研业务费专项资金(K5051302007)资助课题
摘    要:该文研究了极化敏感阵列采用斜投影滤波和正交投影滤波的输出信干噪比(SINR)特性。推导获得了斜投影滤波与正交投影滤波在理想情况和存在阵列误差时的输出SINR 计算式:理想情况下输出SINR 是信噪比(SNR)、目标与干扰的空域和极化域匹配系数的函数;存在阵列误差情况时输出SINR 受信噪比,干噪比(INR)、目标与干扰的空域-极化域匹配系数及误差扰动量共同影响。分析表明,相比正交投影滤波而言,斜投影滤波的输出SINR没有改善,也不能提高误差稳健性,它们均低于最优输出SINR;正交投影与斜投影输出SINR 相同的成因并不一样,正交投影滤波改变了目标的幅相特性,滤波后目标有损失;斜投影滤波改变了输出噪声的空域-极化域特性,放大了输出噪声的功率。最后通过仿真实验验证了理论分析的正确性。 

关 键 词:极化敏感阵列    斜投影滤波    正交投影滤波    阵列误差
收稿时间:2013-04-23

Performance Analysis of Oblique Projection Filtering Based on Polarization Sensitive Array
Tian Jing;Liao Gui-sheng;Yang Zhi-wei.Performance Analysis of Oblique Projection Filtering Based on Polarization Sensitive Array[J].Journal of Radars,2013,2(3):284-291.
Authors:Tian Jing;Liao Gui-sheng;Yang Zhi-wei
Affiliation:(National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China)
Abstract:The output SINR (Signal to Interference and Noise Ratio) of oblique projection and orthogonal projection filtering based on polarization sensitive array is investigated. The output SINR formulas of oblique projection and orthogonal projection filtering under both the ideal and array error conditions are derived. Related with the spatial and polarized matching coefficient between signal and interference under ideal condition, the output SINR is the function of the spatial and polarized matching coefficient between signal and interference, the Interference to Noise Ratio (INR), and the perturbation momentum under array error condition. The oblique projection filtering obtains the same output SINR as the orthogonal projection filtering under both conditions, while the output SINR of the maximum SINR principle filtering is the best. Further analysis shows that the oblique projection distorts the spatial and polarized properties of noise filtering while keeps the amplitude and phase properties of output signal which are distorted employing the orthogonal filtering. The simulation results attest the reasonability of the analysis of the paper. 
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