Page 16 - 《应用声学》2023年第3期

第 42 卷 第 3 期 Vol. 42, No. 3
2023 年 5 月 Journal of Applied Acoustics May, 2023

⋄ 研究报告 ⋄

深海远程正交频分复用水声通信簇约束的分布式

压缩感知信道估计 ∗

王悦悦 1,2 王海斌 1† 台玉朋 1 汪 俊 1 王光旭 1

(1 中国科学院声学研究所 声场声信息国家重点实验室 北京 100190)
(2 中国科学院大学 北京 100049)

摘要：在深海远程正交频分复用水声通信中，信道时延较长，导致信道频率选择性衰落严重，传统的压缩感知
信道估计算法性能大幅下降。为此，该文利用深海远程信道在一定时间内具有相关性并呈较稳定簇状分布的
特点，在分布式压缩感知信道估计中引入簇区域信息，进行簇约束的多数据块联合稀疏信道估计，提出一种簇
约束的分布式压缩感知信道估计方法，并在深海开展了定点远程水声通信实验进行验证，实验结果表明，与传
统的分布式压缩感知信道估计算法相比，本方法的能够降低 50% 左右的误码率。
关键词：深海远程；正交频分复用；簇约束；分布式压缩感知；信道估计
中图法分类号: TN929.3 文献标识码: A 文章编号: 1000-310X(2023)03-0454-13
DOI: 10.11684/j.issn.1000-310X.2023.03.002

Cluster restricted distributed compressed sensing channel estimation for

long-range OFDM underwater acoustic communication in deep sea

WANG Yueyue 1,2 WANG Haibin 1 TAI Yupeng 1 WANG Jun 1 WANG Guangxu 1

(1 State Key Laboratory of Acoustics Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China)
(2 University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract: In long-range orthogonal frequency division multiplexing (OFDM) communication of deep sea,
underwater acoustic channel is characterized by long delay spread, which results in serious selective fading of
channel frequency. In this case, traditional compressed sensing algorithm performance deteriorates significantly.
To solve this problem, we take advantage of the characteristics of long-range and deep-sea channels that are
correlated and distributed in stable clusters within a certain period of time, and introduces cluster region
information into distributed compressed sensing channel estimation, to perform cluster-restricted multi-data
block joint sparse channel estimation. So, we propose a distributed compressed sensing channel estimation
method with cluster constraint in this paper. To validate the effectiveness of this method, a point to point
long-range communication experiment was carried out in deep sea, the experimental results show that with the
proposed method, the bit error rate can steadily drop to 50% compared with traditional distributed compressed
sensing channel estimation algorithms.
Keywords: Long-range and deep-sea; Orthogonal frequency division multiplexing; Cluster restricted;
Distributed compressed sensing; Channel estimation

2022-03-01 收稿; 2022-06-14 定稿
国家自然科学基金面上项目 (62171440)
∗
作者简介: 王悦悦 (1995– ), 女, 安徽阜阳人, 博士研究生, 研究方向: 信号与信息处理。
通信作者 E-mail: whb@mail.ioa.ac.cn
†