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水声正交频分复用系统载波偏移与脉冲干扰估计技术
引用本文:孙海信, 徐小卡, 马力, 蒯小燕, 程恩, 陈友淦. 水声正交频分复用系统载波偏移与脉冲干扰估计技术[J]. 声学学报, 2014, 39(4): 435-440. DOI: 10.15949/j.cnki.0371-0025.2014.04.008
作者姓名:孙海信  徐小卡  马力  蒯小燕  程恩  陈友淦
作者单位:1. 厦门大学水声通信与海洋技术教育部重点实验室 厦门 361005;
基金项目:研究基金访问学者项目(中国国家留学基金管理委员会:2011631504);美国国家科学基金(CNS-1205665);中央高校基础研究基金(201112G020,201212G012);国家自然科学基金(41176032)资助
摘    要:载波频率偏移和脉冲干扰是水声通信系统中常见的干扰形式。为了提高系统的鲁棒性,消除这两种类型干扰的影响,提出利用空载波对载波频率偏移和脉冲干扰进行估计。空载波估计技术采用了分步优化和联合优化估计两种方法。分步优化估计首先利用重采样和空载波进行载波频率偏移估计,补偿后利用空载波对脉冲噪声进行消除。考虑到载波频率偏移和脉冲噪声估计时的相互影响特性,利用二者的联合估计得到优化解。仿真和水池实验结果表明,两种优化算法都取得了良好的效果;同时联合优化估计比分步优化估计得到更大的系统性能增益,在系统误比特率为10-2时,联合优化解得到了3dB左右的系统性能增益。通过对载波频率偏移和脉冲干扰的估计消除,大大提高了水声通信系统的鲁棒性。

关 键 词:脉冲干扰  载波干扰  频率偏移  水声通信系统  优化解  系统性能  重采样  联合优化  联合估计  误比特率  
收稿时间:2013-01-12
修稿时间:2013-05-28

Carrier frequency offset and impulse noise estimation for underwater acoustic orthogonal frequency division multiplexing
SUN Haixin, XU Xiaoka, MA Li, KUAI Xiaoyan, CHENG En, CHEN Yougan. Carrier frequency offset and impulse noise estimation for underwater acoustic orthogonal frequency division multiplexing[J]. ACTA ACUSTICA, 2014, 39(4): 435-440. DOI: 10.15949/j.cnki.0371-0025.2014.04.008
Authors:SUN Haixin  XU Xiaoka  MA Li  KUAI Xiaoyan  CHENG En  CHEN Yougan
Affiliation:1. Key Laboratory of Underwater Acoustic Communication and Marine Information Technology (Xiamen University), Ministry of Education Xiamen 361005;2. Department of Electrical and Computer Engineering, University of Connecticut Storrs, CT 06269;3. Key Laboratory of underwater Acoustic Environment, Institute of Acoustic, Chinese Academy of Sciencs Beijing 100190;4. Institute of Acoustics, Chinese Academy of Sciences Beijing 100190
Abstract:The acoustic system carrier frequency offset (CFO) and impulse noise are the most common interference in the underwater The CFO and impulse noise could be estimated by using the null subcarriers. The null subcarriers estimation included optimal separate estimation and joint estimation. The separate estimation firstly estimated the CFO value and then estimated the impulse noise value. However, the CFO and impulse noise are always affected each other when one of them was estimated. Then a joint optimal estimation was proposed to estimate the both of them. Experimental results performed with numerical simulation and pool-trial data are provided. The results show the improvement of the proposed algorithm under time-varying channels and the joint estimation can get more performance gain margin than the separate estimation about 3 dB at the BER of 10-2. Through the estimation of them, the robustness is improved. 
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