一种适用于水声直扩通信的符号级通带多普勒跟踪及补偿算法

doi:10.23919/JCIN.2020.9130433

通信与信息网络学报

• Special Focus: UAV Communications • 上一篇下一篇

一种适用于水声直扩通信的符号级通带多普勒跟踪及补偿算法

修回日期:2020-06-04 出版日期:2020-06-25 发布日期:2020-07-14

A Symbol-Based Passband Doppler Tracking and Compensation Algorithm for Underwater Acoustic DSSS Communications

Dajun Sun(),Xiaoping Hong(),Hongyu Cui(),Lu Liu()

College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China. Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, China. Key Laboratory of Marine Information Acquisition and Security (HEU), Ministry of Industry and Information Technology, Harbin 150001, China

Revised:2020-06-04 Online:2020-06-25 Published:2020-07-14
About author:Dajun Sun received his B.S, M.Sc. and Ph.D. degrees in underwater acoustic engineering from Harbin Engineering University in 1994, 1996, and 1999, respectively. He worked at Harbin Engineering University from 1996 to 2001,and then visited National University of Singapore as a visiting scholar from 2001 to 2002. He became a professor in 2007. His research focuses on sonar system design and application research, including long/short-baseline localization sonar,Doppler velocity log,communication sonar,submerged buoy systems,and imaging sonar.|Xiaoping Hong received his B.S.degree from Harbin Engineering University in 2015.He is currently pursuing his Ph.D.degree in College of Underwater Acoustic Engineering, Harbin Engineering University. His research focuses on underwater acoustic communication and its signal processing.|Hongyu Cui[corresponding author]received his B.S. and Ph.D.degrees from Peking University in 2009 and 2014, respectively. In 2014, he became an associate professor in College of Underwater Acoustic Engineering,Harbin Engineering University. His research focuses on wireless communications and networking, and underwater acoustic signal processing.|Lu Liu received her B.S.and Ph.D.degrees in underwater acoustic engineering from Harbin Engineering University,Harbin,China,in 2013 and 2018,respectively.She is currently working in the acoustic science and technology laboratory and college of underwater acoustic engineering in Harbin Engineering University. Her current research interests include the signal processing in underwater acoustic communications.
Supported by:
Natural Science Foundation of China(61701132);Natural Science Foundation of China(61601134);National Natural Science Foundation of Heilongjiang(YQ2019D003);China Scholarship Council(CSC201906680039)

摘要/Abstract

Abstract:

Abstract—In this paper, we consider the problem of Doppler tracking and compensation for a direct sequence spread spectrum (DSSS) signal in underwater acoustic (UWA) communication.Since the dynamic property of the UWA channel and the long duration of DSSS signals result in significant Doppler spread that severely distorts the propagated signal, Doppler tracking and compensation are required.Based on the ultra-wideband property of UWA signal, the Doppler spread not only results in the frequency shift,but also changes the signal duration.Therefore,the accurate estimation of the signal expansion/compression in the time domain can reflect the Doppler spread.Accordingly, we present a Doppler tracking and compensation algorithm for a DSSS signal operating on the correlation output of passband signal at a symbol-by-symbol basis.Note that the carrier frequency of UWA communication is around several kilohertz, and thus the time delay estimation can be performed on the passband to improve the accuracy.Furthermore, the prior information of Doppler limit is used to refine the resolution of delay estimation and achieve sequential estimation.To compensate the correlation magnitude distortion induced by the velocity variation, the local reference signal is selected adaptively based on the filtered Doppler factor.Simulation results demonstrate that the proposed passband Doppler tracking algorithm achieves a superior performance compared with the conventional receiver.

一种适用于水声直扩通信的符号级通带多普勒跟踪及补偿算法

本文主要研究水声通信中适用于直接序列扩频信号的多普勒跟踪及补偿的方法。由于水声信道的动态特性以及直扩信号的持续时间长的特点，导致极其明显的多普勒扩展现象，使得水下传播的通信信号存在严重衰减，继而影响通信性能，因此针对直扩信号的多普勒跟踪以及补偿方法显得尤为重要。由于水声信号的超宽带特性，多普勒扩展不仅表现为频率偏移，还会导致信号脉宽产生相应的变化。因此，可以利用高精度的时间估计来计算对应的频率偏移以及多普勒因子。基于此特性，本文提出了一种适用于水声直扩通信的多普勒跟踪以及补偿算法。该算法以符号间隔为处理步长进行序贯处理，并且以通带匹配相关的输出作为输入而不是以解调后的基带信号作为输入。基于通带相关输出信号的时延估计精度远高于基带时延估计。注意到水声通信的载波频率通常低于几十千赫兹，因此对通信信号直接进行匹配相关的复杂度是可以接受的。为了进一步提高时延估计精度，将多普勒容限以及前一符号的时延估计结果作为先验信息以估计当前符号的时延。为了补偿导致的相关幅度衰减，本地参考信号根据时延估计结果计算的多普勒因子进行动态调整。为了提高该算法的抗噪声性能，对多普勒因子进行平滑滤波以防止本地参考信号的突变。仿真结果验证了该算法的可行性，并且性能远好于传统的直扩接收机算法。

Key words: UWA communications, DSSS, passband Doppler tracking and compensation

一种适用于水声直扩通信的符号级通带多普勒跟踪及补偿算法 [J]. 通信与信息网络学报, doi: 10.23919/JCIN.2020.9130433.

Dajun Sun, Xiaoping Hong, Hongyu Cui, Lu Liu. A Symbol-Based Passband Doppler Tracking and Compensation Algorithm for Underwater Acoustic DSSS Communications[J]. Journal of Communications and Information Networks, doi: 10.23919/JCIN.2020.9130433.

图/表 7

参考文献 17

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	Proposed method	CAF method
Correlation	o(2 × mlbm)	o(2K × mlbm)
Demodulation	o(2 × mlbn)	o(2 × mlbn)
Delay estimator	o(2×1.5 m)	?
Doppler estimator	o(1)	?
Symbol decision	o(1)	o(2×1.5 m)
Ref.sig generator	o(1.5K)	?

一种适用于水声直扩通信的符号级通带多普勒跟踪及补偿算法

A Symbol-Based Passband Doppler Tracking and Compensation Algorithm for Underwater Acoustic DSSS Communications

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