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一种基于奇异值分解的解相干算法

季正燕 陈辉 张佳佳 李帅 陆晓飞

季正燕, 陈辉, 张佳佳, 李帅, 陆晓飞. 一种基于奇异值分解的解相干算法[J]. 电子与信息学报, 2017, 39(8): 1913-1918. doi: 10.11999/JEIT161157
引用本文: 季正燕, 陈辉, 张佳佳, 李帅, 陆晓飞. 一种基于奇异值分解的解相干算法[J]. 电子与信息学报, 2017, 39(8): 1913-1918. doi: 10.11999/JEIT161157
JI Zhengyan, CHEN Hui, ZHANG Jiajia, LI Shuai, LU Xiaofei. Decorrelation Algorithm Based on Singular Value Decomposition[J]. Journal of Electronics & Information Technology, 2017, 39(8): 1913-1918. doi: 10.11999/JEIT161157
Citation: JI Zhengyan, CHEN Hui, ZHANG Jiajia, LI Shuai, LU Xiaofei. Decorrelation Algorithm Based on Singular Value Decomposition[J]. Journal of Electronics & Information Technology, 2017, 39(8): 1913-1918. doi: 10.11999/JEIT161157

一种基于奇异值分解的解相干算法

doi: 10.11999/JEIT161157

Decorrelation Algorithm Based on Singular Value Decomposition

  • 摘要: 该文针对稀疏重构解相干问题,利用接收数据厅奇导值分解(SVD)后的大特征值对应的特征矢量,提出一种改进解相干方法。该方法通过迭代这一特征矢量来重构角度,无需知道信号源的数目,即可准确重构角度信息,实现解相干。相对于经典SVD算法,所提算法运算速度更快,稀疏重构效果更优。理论分析和仿真结果都验证了算法的良好性能。
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    CAI Jingjing, ZONG Ru, and CAI Hui. DOA estimation via sparse representation of the smoothed array covariance matrix[J]. Journal of Electronics Information Technology, 2016, 38(1): 168-173. doi: 10.11999/JEIT150538.
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    JI Zhengyan, CHEN Hui, and ZHANG Jiajia. Two ameliorated de-coherence algorithms in sparse reconstruction based on SVD[J]. Journal of Air Force Early Warning Academy, 2017, 31(1): 5-10. doi: 10.3969/j.issn.2095-5839. 2017.01.002.
    XU D, DU L, LIU H, et al. Compressive sensing of stepped- frequency radar based on transfer learning[J]. IEEE Transactions on Signal Processing, 2015, 63(12): 3076-3087. doi: 10.1109/TSP.2015.2421473.
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    HAN Shunan, LI Dongsheng, and WANG Xiao. Novel approach for DOA estimation based on sparse reconstruction of eigenvector[J]. Modern Defence Technology, 2015, 43(4): 161-165. doi: 10.3969/j. issn.1009-086x.2015.04.027.
    WEI Dong and ZHOU Jianpeng. Application of K-SVD and OMP algorithm on ultrasonic signal denoising[J]. Journal of Applied Acoustics, 2016, 35(2): 95-101. doi: 10.11684/j.issn. 1000-310X.2016.02.001
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出版历程
  • 收稿日期:  2016-10-28
  • 修回日期:  2017-04-21
  • 刊出日期:  2017-08-19

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