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基于联合奇异值分解的二维DOA估计
引用本文:彭晓燕,甘露,魏平.基于联合奇异值分解的二维DOA估计[J].通信技术,2009,42(2):21-24.
作者姓名:彭晓燕  甘露  魏平
作者单位:电子科技大学电子工程学院,四川,成都,610054
摘    要:文章设计了一种新型三维立体阵列并基于该阵列形式提出了一种基于联合奇异值分解的二维DOA(Direction Of Arrival)估计算法。该方法利用三维立体阵,与平面阵相比大大提高某些方向上的测角精度,在方法中使用了子阵列之间的互相关而不是传统的子阵自相关,有效减小了噪声的影响,提高了估计精度,并且利用联合奇异值分解实现了快速配对。最后数值仿真结果证实了所提方法在增加了估计范围,提高了估计精度。

关 键 词:天线阵列  二维  DOA

2-D DOA Estimation Method Based on Joint SVD
PENG Xiao-yan,GAN Lu,WEI Ping.2-D DOA Estimation Method Based on Joint SVD[J].Communications Technology,2009,42(2):21-24.
Authors:PENG Xiao-yan  GAN Lu  WEI Ping
Affiliation:(Department of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu Sichuan 610054, China)
Abstract:A new 3D array shape proposed in this paper. This new array and the corresponding estimation 2-D DOAs algorithm based on joint SVD is shape extends DOA estimation scope and improves the estimator performance relative to the planar array. It adopts the cross-correlation among the sub-arrays other than the auto- correlation of the sub-arrays, thus to effectively depress the influence of noise. And the pairing method is completed by joint SVD. Finally, it is proved that the proposed method is superior in estimation scope and the estimation performance.
Keywords:Antenna array  2-Dimensional  direction-of-arrival(DOA)
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