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基于稀疏表示的不相关分布式信源参数估计算法

程增飞 赵永波 水鹏朗 徐保庆

程增飞, 赵永波, 水鹏朗, 徐保庆. 基于稀疏表示的不相关分布式信源参数估计算法[J]. 电子与信息学报, 2015, 37(12): 2885-2890. doi: 10.11999/JEIT150340
引用本文: 程增飞, 赵永波, 水鹏朗, 徐保庆. 基于稀疏表示的不相关分布式信源参数估计算法[J]. 电子与信息学报, 2015, 37(12): 2885-2890. doi: 10.11999/JEIT150340
Cheng Zeng-fei, Zhao Yong-bo, Shui Peng-lang, Xu Bao-qing. Parameter Estimation Method of Incoherently Distributed Source via Sparse Representation[J]. Journal of Electronics and Information Technology, 2015, 37(12): 2885-2890. doi: 10.11999/JEIT150340
Citation: Cheng Zeng-fei, Zhao Yong-bo, Shui Peng-lang, Xu Bao-qing. Parameter Estimation Method of Incoherently Distributed Source via Sparse Representation[J]. Journal of Electronics and Information Technology, 2015, 37(12): 2885-2890. doi: 10.11999/JEIT150340

基于稀疏表示的不相关分布式信源参数估计算法

doi: 10.11999/JEIT150340
基金项目: 

中央高校基本科研业务费专项基金(K5051202047)

Parameter Estimation Method of Incoherently Distributed Source via Sparse Representation

Funds: 

The Fundamental Research Fund for the Central Universities of China (K5051202047)

  • 摘要: 在分析不相关分布式信源(Incoherently Distributed Source, IDS)信号模型的基础上,该文给出一种基于稀疏表示的IDS参数估计方法。该方法利用IDS协方差矩阵的Toeplitz性质,结合IDS协方差矩阵的两点近似及Jacobi-Anger级数展开模型,分别采用两个1维稀疏表示问题对IDS的角度扩展及中心入射角度进行估计。同现有算法相比,该文方法不需要进行2维搜索,计算量较小。仿真结果表明,该文算法在低信噪比及小快拍情况下具有良好的参数估计性能。
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  • 被引次数: 0
出版历程
  • 收稿日期:  2015-03-23
  • 修回日期:  2015-09-06
  • 刊出日期:  2015-12-19

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