一种降低复杂度的压缩感知水声信道估计方法

于玄; 耿烜

doi:10.11959/j.issn.1000-0801.2021039

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一种降低复杂度的压缩感知水声信道估计方法

研究与开发 | 更新时间：2024-06-05

- 一种降低复杂度的压缩感知水声信道估计方法
- A reduced-complexity compressed sensing channel estimation for underwater acoustic channel
- 电信科学 2021年37卷第3期页码：114-124
- 作者机构：
- 作者简介：
  
  [ "于玄（1996- ），女，上海海事大学硕士生，主要研究方向为水声通信物理层关键技术研究（均衡和检测）。" ]
  [ "耿烜（1979- ），女，博士，上海海事大学副教授，主要研究方向为通信信号处理、水声通信及无线通信信号处理。" ]
- 基金信息：
  
  国家自然科学基金与广东省联合基金项目;The National Natural Science Foundation of China (NSFC)-Guangdong Joint Fund Project(U1701265);国家自然科学基金资助项目;The National Natural Science Foundation of China(61902239)
- DOI：10.11959/j.issn.1000-0801.2021039
  中图分类号： TN911
- 网络出版日期：2021-03，
  
  纸质出版日期：2021-03-20
- 稿件说明：
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于玄, 耿烜. 一种降低复杂度的压缩感知水声信道估计方法[J]. 电信科学, 2021,37(3):114-124.

Xuan YU, Xuan GENG. A reduced-complexity compressed sensing channel estimation for underwater acoustic channel[J]. Telecommunications science, 2021, 37(3): 114-124.
于玄, 耿烜. 一种降低复杂度的压缩感知水声信道估计方法[J]. 电信科学, 2021,37(3):114-124. DOI： 10.11959/j.issn.1000-0801.2021039.

Xuan YU, Xuan GENG. A reduced-complexity compressed sensing channel estimation for underwater acoustic channel[J]. Telecommunications science, 2021, 37(3): 114-124. DOI： 10.11959/j.issn.1000-0801.2021039.

摘要

针对浅海的水声信道稀疏特性，提出了一种降低复杂度的前向回溯正交匹配追踪（RC-LABOMP）信道估计方法。首先计算正交匹配追踪和子空间追踪信道估计算法的两类支撑集，接着根据两类支撑集的交集和并集，预处理先验信息，最后利用先验信息完成前向回溯正交匹配追踪信道估计。该算法经过先验信息的预处理，能够减少原LABOMP算法的迭代次数，同时缩小原子的索引范围，因此能够显著降低原LABOMP算法的计算复杂度。此外，将提出的算法与水声 Turbo 均衡系统相结合，更适用于水声通信系统。仿真结果表明，所提算法在随机信道和水声信道条件下，具有估计精度高、误码率低的特点，同时能够显著降低LABOMP算法的计算复杂度，是一种适用于浅海水声信道的有效估计方法。

Abstract

Aiming at the sparse characteristics of underwater acoustic channels for shallow seas

a reduced-complexity look-ahead backtracking orthogonal matching pursuit (RC-LABOMP) channel estimation algorithm was proposed.Firstly

two types of support sets of orthogonal matching pursuit and subspace pursuit channel estimation algorithms were calculated

and then prior information based on the intersection and union of the two support sets were preprocessed.At last

the preprocessed prior information was used to complete look-ahead backtracking orthogonal matching pursuit channel estimation.The preprocessed prior information leads to the decrease of the iteration number of original LABOMP

and reduction of the atom index range

thus the proposed algorithm can reduce the computational complexity of original LABOMP significantly.In addition

combining the proposed algorithm with the underwater acoustic Turbo equalization system is more suitable for underwater acoustic communication systems.Simulation results show that the proposed algorithm demonstrates high estimation accuracy and low bit error rate performance under both conditions of random channels and underwater acoustic channels.It also reduces the computational complexity of the LABOMP algorithm.Therefore

it is an effective method for shallow seas underwater acoustic channels estimation algorithm.

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Keywords

references

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