期刊文献+

基于四元数的极化敏感阵列波束形成

Adaptive Beamforming Based on Quaternion for Polarization Sensitive Array
下载PDF
导出
摘要 四元数信号模型保持了阵元各分量之间固有的正交特性,因而针对极化敏感阵列信号处理基于四元数的方法具有比常规基于复数的长矢量方法更优的性能。将最大信号干扰噪声比准则应用于波束形成求得四元数最优权向量,进而完成了极化敏感阵列的滤波。与长矢量方法相比在具有相同的滤波性能情况下,四元数方法减少了一半的数据存储单元,降低了除法计算复杂度,从而提高了算法的处理速度。同时四元数的四维超复数正交结构提高了阵列对指向误差的稳健特性,计算机仿真结果验证了文中方法的有效性。 Quaternion signal model can keep the intrinsical orthogonality of the polarization sensitive array(PSA), so the processing method based on quaternion outperforms the performance of traditional long vector method based on complexor for PSA. The quaternion optimal weight vector is obtained through the maximum signal interference noise ratio criterion and it is used to complete the filtering of PSA in this paper. The quaternion method can achieve the same filtering performance as the long vector method. Also, the computational burden is reduced and only a half of the memory space is required. At the same time, four dimensional orthogonal structures of quaternion can enhance the robustness when there exists array pointing errors. Simulation results are given to demonstrate the effectiveness of the proposed method.
出处 《雷达科学与技术》 2014年第3期249-252,261,共5页 Radar Science and Technology
基金 国家自然科学基金(No.61371184) 四川省应用基础研究(No.2013JY0004)
关键词 四元数 极化敏感阵列 波束形成 正交结构 稳健特性 quaternion polarization sensitive array beamforming orthogonal structure robustness
  • 相关文献

参考文献13

二级参考文献35

  • 1周欣,石要武,郭宏志.有色噪声背景下多径信号的二维DOA和极化参数同时估计算法[J].吉林大学学报(工学版),2009,39(3):797-802. 被引量:3
  • 2曹清平著.雷达极化技术与极化信息应用[M].国防工业出版社.2006:1-3. 被引量:1
  • 3Miron S, Le Bihan N, and Mars J I. Quaternion-music for vector-sensor array processing[J]. IEEE Transactions on Signal Processing, 2006, 54(4): 1218-1229. 被引量:1
  • 4Bihan N L and Mars J. Singular value decomposition of quaternion matrices: a new tool for vector-sensor signal processing[J]. Signal Processing, 2004, 84(7): 1177-1199. 被引量:1
  • 5Bliss B, Chan A, and Eapen A. Vector Sensors Array Design[M]. Lexington, MA: MIT Lincoln -aborary presentation, April 2004. 被引量:1
  • 6SMir H and Sahr J D. Passive direction finding using airborne vector sensors in the presence of manifold perturbations[J]. IEEE Transactions on Signal Processing, 2007, 55(1): 156-164. 被引量:1
  • 7Took C. C. and Mandic D. P., The quaternion LMS algo- rithm for adaptive filtering of hypercomplex processes[ J], IEEE Transactions on SP, 2009, 57(4) : 1316-1327. 被引量:1
  • 8Took C. C., Mandic D. P. and Benesty J. , Study of the quatemion LMS and four-channel LMS algorithm [ C ], IEEE International Conference on Acoustics, Speech, and Signal Processing, 2009, Vol. 5, pp:3109-3112. 被引量:1
  • 9Ujang C. A. B. C., Took C. C., A. Kavcic, and D. P. Mandic, A split quatemion nonlinear adaptive filter [ C ]. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2009, Vol. 5, pp:1745-1748. 被引量:1
  • 10Miron S., Bihan N. L. and lqlars J. I., Quatemion-MU- SIC for vector-sensor array processing[ J], IEEE Transac- tions on Signal Processing, 2006, 54(4) :1218-1229. 被引量:1

共引文献64

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部