基于判决反馈均衡的水声信道估计与通信算法

上海交通大学学报（自然版） ›› 2014, Vol. 48 ›› Issue (05): 685-692.

• 无线电电子学、电信技术 • 上一篇下一篇

基于判决反馈均衡的水声信道估计与通信算法

罗亚松1，许江湖1，刘忠1，肖金石1,吴视野2

（1.海军工程大学电子工程学院，武汉 430033;2.中国电子科技集团公司第二十九研究所, 成都 610036）

收稿日期:2013-04-15
基金资助:
国家自然科学基金资助项目（61101205），海军工程大学自然科学基金资助项目（HGDQNJJ13019）

Self-Adjusting Underwater Acoustic Channel Estimation and Communication Algorithms Based on Decision Feedback Equalizer

LUO Yasong1，XU Jianghu1，LIU Zhong1，XIAO Jinshi1,WU Shiye2

（1. College of Electronics Engineering, Naval University of Engineering, Wuhan 430033, China; 2. Southwest China Research Institute of Electronic Equipment, Chengdu 610036, China）

Received:2013-04-15

摘要/Abstract

摘要：

在分析基于最小均方信道估计算法的基础上，对计算量较小的匹配追踪算法进行改进，引入路径门限调整机制以克服虚假路径造成的不良影响，利用重要路径权系数的2次迭代修正方法，进一步提高了水声稀疏信道的估计精度；借助于信道估计值进行均衡系数的解算，利用判决反馈均衡器（DFE）的输出信号对信道估计质量进行实时评估，提出了一种基于DFE的信道长度自适应选择的信道估计算法，同时，通过仿真和实地实验验证了其有效性.结果表明，所提出的算法能够在未知水声环境下实现对信道估计算法的自适应调整以及对预估信道长度的合理选择，以较高的计算效率而实现对水声信道的精确估计，满足未知水声信道环境下的精确信道估计及通信应用需要.

关键词: 水声通信, 信道估计, 判决反馈, 自调整

Abstract:

Based on analysis of the LS-series channel estimation algorithms, the matching pursuit (MP) algorithm with small computation amount was improved by importing both a threshold adjusting mechanism which could effectively avoid false paths and an iterative correction method to increase the estimation precision for important coefficients of the sparse underwater acoustic channel. In order to overcome the dependence on the information of channel’s length, a novel channel estimation algorithm which could adapt to real channel’s length was proposed. Decision feedback equalizer (DFE) coefficients were computed recurring to the real-time channel estimation results while the evaluation of channel estimation’s quality which could be fed back to adjust channel estimation algorithm was given using DFE’s output signals. The novel algorithm could effectively implement estimations for unknown underwater acoustic environments which also benefited reliable underwater acoustic communications. The proposed method was validated by simulations and experiments.

Key words: underwater acoustic communication, channel estimation, decision feedback, self-adjusting

中图分类号:

TN 911

罗亚松1，许江湖1，刘忠1，肖金石1,吴视野2. 基于判决反馈均衡的水声信道估计与通信算法[J]. 上海交通大学学报（自然版）, 2014, 48(05): 685-692.

LUO Yasong1，XU Jianghu1，LIU Zhong1，XIAO Jinshi1,WU Shiye2. Self-Adjusting Underwater Acoustic Channel Estimation and Communication Algorithms Based on Decision Feedback Equalizer[J]. Journal of Shanghai Jiaotong University, 2014, 48(05): 685-692.

参考文献

［1］Song A J, Abdi A, Badiey M, et al. Experimental demonstration of underwater acoustic communication by vector sensors ［J］. IEEE Journal of Oceanic Engineering, 2011, 36 (3): 454461.

［2］Diamant R, Lampe L. Spatial reuse timedivision multiple access for broadcast ad hoc underwater acoustic communication networks ［J］. IEEE Journal of Oceanic Engineering, 2011, 36 (2): 172176.

［3］王彦, 刘宏立, 詹杰．GOMCCDMA模糊自适应LS信道估计器研究［J］．通信学报, 2011, 32 (6):165171．

WANG Yan, LIU Hongli, ZHAN Jie. Fuzzy adaptive LS channel estimation for GOMCCDMA ［J］. Journal on Communications, 2011，32 (6): 165171．

［4］宁小玲，刘忠，刘志坤．稀疏水声OFDM系统迭代LS自适应信道估计［J］．电子科技大学学报，2011，40 (5)：671675．

NING Xiaoling, LIU Zhong, LIU Zhikun. Iterative leastsquare adaptive channel estimation for sparse underwater OFDM system ［J］. Journal of University of Electronic Science and Technology of China, 2011, 40 (5): 671675．

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

［6］于华楠，郭树旭．基于压缩感知的超宽带信道估计方法的研究［J］．电子与信息学报，2012, 34 (6):14531456．

YU Huanan, GUO Shuxu. Research on CSbased channel estimation methods for UWB communications ［J］. Journal of Electronics and Information Technology, 2012，34(6): 14531456．

［7］Tao Jun, Wu Jingxian. Enhanced MIMO LMMSE turbo equalization: Algorithm, simulations, and undersea experimental results ［J］. IEEE Transactions on Signal Processing, 2011, 59 (8): 38133823.

［8］Wan Feng, Zhu Weiping. Semiblind sparse channel estimation for MIMOOFDM systems ［J］. IEEE Transactions on Vehicular Technology, 2011, 60 (6): 25692581.

［9］王峰. 基于高阶统计量的水声信道盲均衡理论与算法［D］．西北工业大学信息科学与技术学院，2003．

［10］Alenka G. Statistical modeling of MIMO mobiletomobile underwater channels ［J］. IEEE Transactions on Vehicular Technology, 2011, 60 (4): 13371350.

［11］Yamazaki S, Asano D K. Singlecarrier transmission frequencydomain equalization based on a wiener filter ［C］. 2010 10th International Symposium on Communications and Information Technologies. Tokyo, Japan: IEEE, 2010: 683688.

［12］Zeolla D, Antonino A, Bosco G, et al. DFE versus MLSE electronic equalization for gigabit/s SIPOF transmission systems ［J］. IEEE Photonics Technology Letters, 2011, 23 (8): 510515.

［13］AlDhahir N, Cioffi J M. Fast computation of channelestimate based equalizers in packet data transmission ［J］. IEEE Transactions on Signal Procession, 1995, 43 (11): 24622473.

［14］黄晶晶. OFDM水声通信系统的联合同步和信道估计技术研究［D］．厦门大学信息科学与技术学院，2009．

［15］姜雪, 李颂文.基于伪机序列的多波束水声探测系统的信道估计技术［J］．声学技术, 2007, 26 (3): 381385．

JIANG Xue, LI Songwen. Channel estimation for multibeam underwater acoustic detection system based on pseudonoise sequence ［J］. Technical Acoustics, 2007, 26(3): 381385．

［16］王彪，杨光．一种新颖的双Chirp信号水声信道多参数估计算法［J］．仪器仪表学报, 2012, 33 (2): 300305．

WANG Biao, YANG Guang. Novel doublechirp signal algorithm for multiparameter estimation of underwater acoustic channel ［J］. Chinese Journal of Scientific Instrument, 2012，33(2): 300305．

[1]	景连友1，何成兵1，黄建国1，孟庆微2，张群飞1. 基于被动时间反转的差分循环移位扩频水声通信[J]. 上海交通大学学报（自然版）, 2014, 48(10): 1378-1383.
[2]	李四，归琳，熊箭. 一种快速时变信道下的单载波频域均衡算法 [J]. 上海交通大学学报（自然版）, 2010, 44(09): 1251-1255.
[3]	张先玉，刘郁林，张建新. 基于隐藏导频的多频带正交频分复用超宽带稀疏信道估计 [J]. 上海交通大学学报（自然版）, 2010, 44(09): 1261-1265.
[4]	张静，罗汉文，金荣洪. 多天线系统符号和载频同步的混合粒子滤波[J]. 上海交通大学学报（自然版）, 2010, 44(02): 189-0192.