A reduced-complexity compressed sensing channel estimation for underwater acoustic channel

Xuan YU; Xuan GENG

doi:10.11959/j.issn.1000-0801.2021039

您当前的位置：

首页 >

文章列表页 >

A reduced-complexity compressed sensing channel estimation for underwater acoustic channel

Research and Development | 更新时间：2024-06-05

- A reduced-complexity compressed sensing channel estimation for underwater acoustic channel
- Telecommunications Science Vol. 37, Issue 3, Pages: 114-124(2021)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2021039
  CLC： TN911
- Published Online：2021-03，
  
  Published：20 March 2021
- 稿件说明：
移动端阅览
Xuan YU, Xuan GENG. A reduced-complexity compressed sensing channel estimation for underwater acoustic channel[J]. Telecommunications science, 2021, 37(3): 114-124.
DOI：

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.

关键词

Keywords

references

ZHENG Y R , WU J X , XIAO C S . Turbo equalization for single-carrier underwater acoustic communications [J ] . IEEE Communications Magazine , 2015 , 53 ( 11 ): 79 - 87 .

STOJANOVIC M , PREISIG J . Underwater acoustic communication channels:propagation model and statistical characterization [J ] . IEEE Transaction on Magazine , 2009 , 47 ( 1 ): 84 - 89 .

CHITRE M , SHAHABUDEEN S , STOJANOVIC M . Underwater acoustic communications and networking:Recent advances and future challenges [J ] . Marine Technology Society Journal , 2008 , 42 ( 1 ): 103 - 116 .

ZHOU Y H , JIANG W H , TONG F , et al . Exploiting joint sparsity for underwater acoustic MIMO communications [J ] . Applied Acoustics , 2017 , 116 : 357 - 363 .

兰英 , 章新华 , 熊鑫 . 浅海水声多途信道建模与仿真 [J ] . 舰船科学技术 , 2010 , 32 ( 9 ): 120 - 122 .

LAN Y , ZHANG X H , XIONG X . Modeling and simulation on shallow water acoustic multi-path channels [J ] . Ship Science and Technology , 2010 , 32 ( 9 ): 120 - 122 .

朱婷婷 , 赵黎 . 稀疏水声信道的常范数盲均衡高速水下通信 [J ] . 西安工业大学学报 , 2016 , 36 ( 12 ): 1002 - 1006 .

ZHU T T , ZHAO L . Constant norm blind equalization algorithm of high speed underwater communication in sparse underwater acoustic channel [J ] . Journal of Xi’an Technological University , 2016 , 36 ( 12 ): 1002 - 1006 .

ZHENG Y R , XIAO C S , YANG T C , et al . Frequency-domain channel estimation and equalization for shallow-water acoustic communications [J ] . Physical Communication , 2010 , 3 ( 1 ): 48 - 63 .

BERGER C R , ZHOU S L , PREISIG J C , et al . Sparse channel estimation for multicarrier underwater acoustic communication:from subspace methods to compressed sensing [J ] . IEEE Transactions on Signal Processing , 2010 , 58 ( 3 ): 1708 - 1721 .

李娜娜 , 李有明 , 余明宸 , 等 . 水声通信中基于正则化阈值迭代的脉冲噪声抑制方法 [J ] . 电信科学 , 2019 , 35 ( 3 ): 76 - 83 .

LI N N , LI Y M , YU M C , et al . Regularized threshold iteration method for impulsive noise suppression in underwater acoustic communication [J ] . Telecommunications Science , 2019 , 35 ( 3 ): 76 - 83 .

PEI T R , YANG S , LI Z T . Detouring matching pursuit algorithm in compressed sensing [J ] . Journal of Computer Research and Development , 2014 , 51 ( 9 ): 2101 - 2107 .

TROPP J A , GILBERT A C . Signal recovery from random measurements via orthogonal matching pursuit [J ] . IEEE Transactions on Information Theory , 2007 , 53 ( 12 ): 4655 - 4666 .

DAI W , MILENKOVIC O . Subspace pursuit for compressive sensing signal reconstruction [J ] . IEEE Transactions on Information Theory , 2009 , 55 ( 5 ): 2230 - 2249 .

ZENG C Y , MA L H , DU M H , et al . Regularized sequential selection and backtracking removal for CS atom matching [C ] // Proceedings of IEEE 14th International Workshop Multimedia Signal Processing . Los Alamitos,CA:IEEE Computer Society , 2012 : 209 - 214 .

TUCHLER M , KOETTER R , SINGER A C . Turbo equalization:principles and new results [J ] . IEEE Transactions Communication , 2002 , 50 ( 5 ): 754 - 767 .

JI S , XUE Y , CARIN L . Bayesian compressive sensing [J ] . IEEE Transactions on Signal Processing , 2008 , 56 ( 6 ): 2346 - 2356 .

邓晓平 , 申建平 , 桑会平 , 等 . 基于近似线性 MMSE 的频域Turbo均衡算法研究 [J ] . 无线电工程 , 2015 , 45 ( 5 ): 28 - 30 , 65 .

DENG X P , SHEN J P , SANG H P , et al . Research on frequency domain Turbo equalization algorithm based on approximately linear MMSE [J ] . Radio Engineering , 2015 , 45 ( 5 ): 28 - 30 , 65 .

吴腾飞 . 迭代稀疏水声信道估计与均衡技术研究 [D ] . 哈尔滨:哈尔滨工程大学 , 2018 .

WU T F . Research on iterative dilute hydrophobic acoustic channel estimation and equalization technology [D ] . Harbin:Harbin Engineering University , 2018 .

UR REHMAN JUNEJO N , ESMAIEL H , ZHOU M , et al . Sparse channel estimation of underwater TDS-OFDM system using look-ahead backtracking orthogonal matching pursuit [J ] . IEEE Access , 2018 , 6 : 74389 - 74399 .

Views

468

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

A power line channel estimation mechanism based on compressed sensing

Sparse channel estimation algorithm based on compressed sensing in MIMO NC-OFDM system

Multi-user joint RIS channel estimation based on ADMM

Joint channel and impulsive noise estimation method based on approximate message passing for NOMA systems

MM-LoRa-Mod: A non-coherent LoRa modulation scheme for underwater acoustic communications

Related Author

Yeshen HE

Kun LIANG

Enqing CHEN

Xinli GAO

Xiaoqiang XIANG

Zhongyong WANG

ZHU Luhu

WANG Anding

Related Institution

Tianjin University of Science＆Technology

China GRIDCOM Co.,Ltd.

School of Information and Electronic Engineering, Zhejiang Gongshang University

College of Information and Communication Engineering, Harbin Engineering University

China Research Institute of Radio Wave Propagation

⁰