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采用去网格相关向量机的水下多径稀疏信道估计

林格平, 马晓川, 鄢社锋, 蒋理

林格平, 马晓川, 鄢社锋, 蒋理. 采用去网格相关向量机的水下多径稀疏信道估计[J]. 声学学报, 2018, 43(5): 762-770. DOI: 10.15949/j.cnki.0371-0025.2018.05.005
引用本文: 林格平, 马晓川, 鄢社锋, 蒋理. 采用去网格相关向量机的水下多径稀疏信道估计[J]. 声学学报, 2018, 43(5): 762-770. DOI: 10.15949/j.cnki.0371-0025.2018.05.005
LIN Geping, MA Xiaochuan, YAN Shefeng, JIANG Li. Underwater acoustic multipath sparse channel estimation via gridless relevance vector machine method[J]. ACTA ACUSTICA, 2018, 43(5): 762-770. DOI: 10.15949/j.cnki.0371-0025.2018.05.005
Citation: LIN Geping, MA Xiaochuan, YAN Shefeng, JIANG Li. Underwater acoustic multipath sparse channel estimation via gridless relevance vector machine method[J]. ACTA ACUSTICA, 2018, 43(5): 762-770. DOI: 10.15949/j.cnki.0371-0025.2018.05.005

采用去网格相关向量机的水下多径稀疏信道估计

基金项目: 

国家自然科学基金项目(61471352,61431020)资助

详细信息
    通讯作者:

    马晓川,maxc@mail.ioa.ac

  • PACS: 
      43.60, 43.30

Underwater acoustic multipath sparse channel estimation via gridless relevance vector machine method

  • 摘要: 在采用训练序列的水下稀疏信道估计问题中,由于采样过程的存在产生了测量矩阵的网格,所以当多径时延不恰好位于网格上时,传统的有网格方法就无法准确估计出该多径的位置,在网格间距较大时这个问题更加严重。针对这个问题,本文构建了一个去网格的稀疏信道估计模型,这个估计模型的测量矩阵包含了对网格外偏差进行调整的参数,在此基础上进一步采用相关向量机的方法对这个调整参数进行估计,得到网格外的偏差值。针对两种不同的水下稀疏多径信道模型进行的仿真试验证明,此方法相比其它有网格稀疏信道估计算法,在估计误差和误码率上有提升,在网格间距较大时,优势更加明显。
    Abstract: In the scenario of underwater acoustic sparse channel estimation with training sequences, grid points in the measuring matrix are caused by discretizing procedure. Estimating accuracy might not be guaranteed with state-of- the-art methods when multipath delays don't exactly locate on the grid points. In this paper, we construct a gridless measuring matrix for sparse channel estimation which contains a off-grid adjusting factor and further using Relevance Vector Machine algorithm to estimate this factor to estimate the offset. This paper first describes the approach and then testifies its estimating result in numerical experiments on two different underwater channels. The results demonstrate that this method outperforms conventional ones in estimating error and bit error rate and this is even more obvious when the grid gets coarser.
  • 期刊类型引用(1)

    1. 冯西安,寇思玮,谭伟杰,毕杨. 水声信号处理中的稀疏表示理论及应用. 电子学报. 2021(09): 1840-1851 . 百度学术

    其他类型引用(0)

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出版历程
  • 收稿日期:  2017-02-22
  • 修回日期:  2017-05-05
  • 网络出版日期:  2022-06-27

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