适用于水声移动通信的调制方式

doi:10.12305/j.issn.1001-506X.2025.08.30

系统工程与电子技术 ›› 2025, Vol. 47 ›› Issue (8): 2727-2736.doi: 10.12305/j.issn.1001-506X.2025.08.30

• 通信与网络 • 上一篇

适用于水声移动通信的调制方式

樊勇兴¹^,²^,³(), 张扬帆¹^,², 黄海宁¹^,²^,*

1. 中国科学院声学研究所，北京 100190
2. 中国科学院先进水下信息技术重点实验室，北京 100190
3. 中国科学院大学，北京 100049

收稿日期:2024-05-30 出版日期:2025-08-25 发布日期:2025-09-04
通讯作者: 黄海宁 E-mail:fanyongxing@mail.ioa.ac.cn
作者简介:樊勇兴（1997—），男，博士研究生，主要研究方向为水声信号处理、水声通信
张扬帆（1975—），女，研究员，博士，主要研究方向为水声信号处理、水声通信、多源信息融合

Modulation method suitable for underwater acoustic mobile communication

Yongxing FAN¹^,²^,³(), Yangfan ZHANG¹^,², Haining HUANG¹^,²^,*

1. Institute of Acoustic，Chinese Academy of Sciences，Beijing 100190，China
2. Key Laboratory of Science and Technology on Advanced Underwater Acoustic Signal Processing，Chinese Academy of Sciences，Beijing 100190，China
3. University of Chinese Academy of Sciences，Beijing 100049，China

Received:2024-05-30 Online:2025-08-25 Published:2025-09-04
Contact: Haining HUANG E-mail:fanyongxing@mail.ioa.ac.cn

摘要/Abstract

摘要：

传统正交频分复用（orthogonal frequency division multiplexing，OFDM）水声通信在双扩展信道中，产生复杂子载波间干扰（inter-carrier interference，ICI），严重影响通信质量。参照水声探测双曲调频信号多普勒高容忍度的特征，引入一种多载波调制方式——等比子载波多载波通信（geometric subcarrier multicarrier communication，GSMC）。GSMC的子载波带宽从低频到高频随频率等比增加，即使通过具有时延和多普勒扩展的双扩展信道也能近似保持正交性，减少ICI。利用此特性，针对最小均方误差算法求逆运算导致计算复杂度过高的问题，对信道矩阵进行压缩形成单抽头对角矩阵替代原矩阵进行直接求逆。仿真结果表明，在双扩展信道下，GSMC较OFDM有更好的误码率性能，在低复杂度算法下兼容了系统性能与计算复杂度。

关键词: 水声通信, 多载波调制, 双扩展信道, 正交频分复用

Abstract:

The traditional orthogonal frequency division multiplexing （OFDM） underwater acoustic communication generates complex inter-carrier interference （ICI） over doubly-spread channels, which seriously affects communication performance. This paper introduces a multicarrier modulation method, geometric subcarrier multicarrier communications （GSMC）, which combines the characteristics of high Doppler tolerance for underwater acoustic detection hyperbolic frequency modulation signals. The subcarrier bandwidth of GSMC increases proportionally to frequency from low frequency to high frequency, and the orthogonality can be maintained, and ICI can be reduced even through the doubly-spread channels with delay and Doppler. This feature compresses the channel matrix by using a single tap diagonal matrix instead of the original matrix for direct inversion, which is caused by the inversion operation of the minimum mean square error algorithm. Simulation results indicate that GSMC has superior bit error rate performance over OFDM in double-spread channels and is compatible with system performance and computational complexity for low-complexity algorithm.

Key words: underwater acoustic communication, multicarrier modulation, doubly-spread channel, orthogonal frequency division multiplexing （OFDM）

中图分类号:

TN 929.3

樊勇兴, 张扬帆, 黄海宁. 适用于水声移动通信的调制方式[J]. 系统工程与电子技术, 2025, 47(8): 2727-2736.

Yongxing FAN, Yangfan ZHANG, Haining HUANG. Modulation method suitable for underwater acoustic mobile communication[J]. Systems Engineering and Electronics, 2025, 47(8): 2727-2736.

图/表 15

图1

图2

图3

图4

图5

图6

图7

图8

图9

图10

图11

图12

表1

图13

图14

参考文献 17

1	洪丹阳, 王巍, 尹力, 等. 改进的时序多重稀疏贝叶斯学习冰下水声信道估计方法[J]. 声学学报, 2022, 47 (5): 591- 602.
	HONG D Y, WANG W, YIN L, et al. An improved temporal multiple sparse Bayesian learning under-ice acoustic channel estimation method[J]. Acta Acustica, 2022, 47 (5): 591- 602.
2	ROUDSARI H M, BOUSQUET J F, MCINTYRE G. Channel model for wideband time-varying underwater acoustic systems[C]//Proc. of the OCEANS, 2017.
3	JIANG Y, PAPANDREOU-SUPPAPPOLA A. Discrete time-scale characterization of wideband time-varying systems[J]. IEEE Trans. on Signal Processing, 2006, 54 (4): 1364- 1375. doi: 10.1109/TSP.2006.870558
4	LI B S, ZHOU S L, STOJANOVIC M, et al. Multicarrier communication over underwater acoustic channels with nonuniform Doppler shifts[J]. IEEE Journal of Oceanic Engineering, 2008, 33 (2): 198- 209. doi: 10.1109/JOE.2008.920471
5	BERGER C R, ZHOU S, PREISIG J C, et al. Sparse channel estimation for multicarrier underwater acoustic communication: from subspace methods to compressed sensing[J]. IEEE Trans. on Signal Processing, 2010, 58 (3): 1708- 1721.
6	WANG Z H, ZHOU S L, GIANNAKIS G B, et al. Frequency-domain oversampling for zero-padded OFDM in underwater acoustic communications[J]. IEEE Journal of Oceanic Engineering, 2011, 37 (1): 14- 24.
7	HUANG J Z, ZHOU S L, HUANG J, et al. Progressive inter-carrier interference equalization for OFDM transmission over time-varying underwater acoustic channels[J]. IEEE Journal of Selected Topics in Signal Processing, 2011, 5 (8): 1524- 1536.
8	MA L, JIA H B, LIU S Z, et al. Low-complexity Doppler compensation algorithm for underwater acoustic OFDM systems with nonuniform Doppler shifts[J]. IEEE Communications Letters, 2020, 24 (9): 2051- 2054. doi: 10.1109/LCOMM.2020.2998293
9	YANG Y W, GAO F F, MA X L, et al. Deep learning-based channel estimation for doubly selective fading channels[J]. IEEE Access, 2019, 7, 36579- 36589. doi: 10.1109/ACCESS.2019.2901066
10	LIU J, JI F, ZHAO H, et al. CNN-based underwater acoustic OFDM communications over doubly-selective channels[C]//Proc. of the IEEE 94th Vehicular Technology Conference, 2021.
11	HADANI R, RAKIB S, TSATSANIS M, et al. Orthogonal time frequency space modulation[C]//Proc. of the IEEE Wireless Communications and Networking Conference, 2017.
12	ZHANG Y, ZHANG Q F, HE C B, et al. Channel estimation for OTFS system over doubly spread sparse acoustic channels[J]. China Communications, 2023, 20 (1): 50- 65. doi: 10.23919/JCC.2023.01.005
13	OUYANG X, ZHAO J. Orthogonal chirp division multiplexing[J]. IEEE Trans. on Communications, 2016, 64 (9): 3946- 3957. doi: 10.1109/TCOMM.2016.2594792
14	ZHU P B, YANG G S, CHEN W, et al. Doppler-resistant orthogonal chirp division multiplexing with multiplex resampling for mobile underwater acoustic communication[J]. IEEE Access, 2022, 10, 55151- 55163. doi: 10.1109/ACCESS.2022.3176824
15	宁晓燕, 宋禹良, 孙志国, 等. 双选信道下OCDM系统低复杂度均衡[J]. 电子与信息学报, 2023, 45 (2): 516- 523.
	NING X Y, SONG Y L, SUN Z G, et al. Low complexity equalization algorithm of OCDM systems in doubly-selective channels[J]. Journal of Electronics & Information Technology, 2023, 45 (2): 516- 523.
16	BABU T P S, FRANCIS J, KOILPILLAI R D. OTFS and OCDM based underwater acoustic communication: system design and evaluation[C]//Proc. of the OCEANS, 2022.
17	ARUNKUMAR K P, MURTHY C R, MURALIKRISHNA P. Variable bandwidth multicarrier communications: a new waveform for the delay-scale channel[C]//Proc. of the IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication, 2022.

仿真参数	参数值
起始频率/kHz	2
终止频率/kHz	4
子载波个数	347
符号持续时间/ms	500
最大时延/ms	40/100
最大残余多普勒因子	1.0002/1.0005
信道编码	1/2
正交幅度调制	4

[1]	程琳, 葛威, 门伟. 基于M元循环移位的MIMO扩频深海水声通信方法[J]. 系统工程与电子技术, 2025, 47(3): 1010-1018.
[2]	彭海源, 王巍, 李德瑞, 刘彦君, 李宇, 迟骋, 田亚男. 基于GPU的OMCSS水声通信M元解扩算法并行实现[J]. 系统工程与电子技术, 2025, 47(3): 978-986.
[3]	邵永琪, 杨丽花, 常澳, 任露露. RIS辅助的OFDM系统中时变信道估计方法[J]. 系统工程与电子技术, 2025, 47(1): 324-331.
[4]	刘方正, 曾瑞琪, 龚阳, 韩振中. 一种ZC-OFDM雷达干扰一体化波形设计与处理方法[J]. 系统工程与电子技术, 2024, 46(9): 2999-3011.
[5]	谭钢, 鄢社锋, 叶子豪, 杨基睿. OFDM系统迭代脉冲噪声抑制与信道估计方法[J]. 系统工程与电子技术, 2024, 46(8): 2841-2849.
[6]	方智敬, 陈媛, 王俊杰. 改进的可见光通信系统PTS峰均比抑制方法[J]. 系统工程与电子技术, 2024, 46(7): 2509-2514.
[7]	邹涵, 张天骐, 马焜然, 杨宗方. 基于多特征融合的MIMO-OFDM系统单-混信号调制识别算法[J]. 系统工程与电子技术, 2024, 46(4): 1456-1465.
[8]	张刚, 陈茜, 蒋忠均. 高速置换索引差分混沌移位键控通信系统[J]. 系统工程与电子技术, 2024, 46(3): 1125-1133.
[9]	金志刚, 尹欢, 苏毅珊. 基于不完美CSI的水声自适应功率分配算法[J]. 系统工程与电子技术, 2023, 45(9): 2941-2948.
[10]	杨丽花, 任露露, 呼博, 邵永琪, 聂倩. 基于元学习的时变信道估计方法[J]. 系统工程与电子技术, 2023, 45(6): 1872-1879.
[11]	汪锐, 张天骐, 安泽亮, 王雪怡, 方竹. 基于联合特征参数和一维CNN的MIMO-OFDM系统调制识别算法[J]. 系统工程与电子技术, 2023, 45(3): 902-912.
[12]	季策, 宋博翰, 耿蓉, 梁敏骏. 快时变信道下基于深度学习的OFDM系统信道估计[J]. 系统工程与电子技术, 2023, 45(11): 3649-3655.
[13]	吕岩, 曹菲, 许剑锋, 冯晓伟. 基于FRFT的单基地MIMO雷达稳健波束形成算法[J]. 系统工程与电子技术, 2023, 45(1): 79-85.
[14]	王震铎, 朱云飞, 宁晓燕, 刁鸣. FrFT-OFDM系统中联合ICI自消除方案[J]. 系统工程与电子技术, 2022, 44(8): 2645-2651.
[15]	高潭, 吕成财, 田川. 面向OFDM-MFSK水声通信的差错控制方法[J]. 系统工程与电子技术, 2022, 44(5): 1701-1708.

适用于水声移动通信的调制方式

Modulation method suitable for underwater acoustic mobile communication

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 15

参考文献 17

相关文章 15

编辑推荐

Metrics

本文评价