| 一种改进的水声正交频分复用稀疏信道时延估计算法 |
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| 引用本文： | 强夕竹,乔钢,周锋.一种改进的水声正交频分复用稀疏信道时延估计算法[J].电子与信息学报,2021,43(3):817-825. |
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| 作者姓名： | 强夕竹 乔钢 周锋 |
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| 作者单位： | 1.哈尔滨工程大学水声技术重点实验室 哈尔滨 1500012.工业和信息化部海洋信息获取与安全工信部重点实验室(哈尔滨工程大学) 哈尔滨 1500013.哈尔滨工程大学水声工程学院 哈尔滨 150001 |
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| 基金项目： | 国家自然科学基金(61771152, 11774074) |
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| 摘 要： | 水声正交频分复用(OFDM)系统中，采用传统正交匹配追踪(OMP)方法估计离网格(off-grid)时延时，需要很高的过采样因子和高昂的计算开销。针对传统OMP方法估计离网格时延计算复杂度高的问题，该文借鉴多元线性拟合思想引入路径补偿的概念，提出了一种基于路径补偿的改进OMP时延估计算法，用以补偿从离网格路径向其周围网格位置泄漏的能量，并用补偿距离这一参数来解释路径补偿效果。该算法无需增加过采样因子，仅利用恰当的补偿距离即可实现较好的估计效果，且能在提高估计性能的同时降低计算复杂度。仿真分析与海试结果验证了该方法的优越性。
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| 关 键 词： | 水声通信 正交频分复用 正交匹配追踪 信道估计 线性拟合 |
| 收稿时间： | 2020-08-03 |
An Improved Delay Estimation Algorithm for Underwater Acoustic OFDM Sparse Channel |
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| Xizhu QIANG,Gang QIAO,Feng ZHOU.An Improved Delay Estimation Algorithm for Underwater Acoustic OFDM Sparse Channel[J].Journal of Electronics & Information Technology,2021,43(3):817-825. |
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| Authors: | Xizhu QIANG Gang QIAO Feng ZHOU |
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| Affiliation: | 1.Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, China2.Key Laboratory of Marine Information Acquisition and Security (Harbin Engineering University), Ministry of Industry and Information Technology, Harbin 150001, China3.College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China |
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| Abstract: | Traditional Orthogonal Matching Pursuit (OMP) method needs high oversampling factor and computational overhead to estimate off-grid path delays in underwater acoustic Orthogonal Frequency Division Multiplexing (OFDM) systems. In this paper, the idea of path compensation is introduced from multiple linear fitting theory, and an improved OMP path delay estimation method based on path compensation is proposed to reduce the energy leaking from off-grid paths to its surrounding grids. The compensation distance is used to evaluate compensation effect. The improved algorithm can improve the estimation performance by appropriate compensation distance without increasing the oversampling factor. Compared with the traditional OMP method, the proposed algorithm has lower computational complexity but better estimation performance. The results of simulations and sea trial data decoding show the superiority of the proposed method. |
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