| 基于高阶统计的水声信道盲辨识 |
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| 引用本文： | 李军,章新华,王凯,徐朝阳.基于高阶统计的水声信道盲辨识[J].应用声学,2009,28(1):42-46. |
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| 作者姓名： | 李军 章新华 王凯 徐朝阳 |
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| 作者单位： | 1. 海军大连舰艇学院信号与信息技术研究中心,大连,116018
2. 东北大学东软信息学院计算机科学与技术系,大连,116023 |
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| 摘 要： | 本文给出了基于ARMA模型的水下通信系统模型,将一种基于三阶统计的算法应用到水声信道盲辨识领域,在不需要训练序列的条件下估计得到信道传输函数。与基于二阶统计特性方法相比,该算法具有较强的抗噪性,更适合信噪比低于12dB条件下水声信道的辨识。通过对水声信道盲辨识的计算机仿真,验证了该算法具有较高的辨识精度。
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| 关 键 词： | AR模型 三阶统计特性 水声信道 盲辨识 |
Underwater acoustic blind channel identification based on high-order statistics |
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| LI Jun,ZHANG Xin-Hu,WANG Kai and XU Zhao-Yang.Underwater acoustic blind channel identification based on high-order statistics[J].Applied Acoustics,2009,28(1):42-46. |
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| Authors: | LI Jun ZHANG Xin-Hu WANG Kai and XU Zhao-Yang |
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| Institution: | 1 (1 Research Center of Signal Information,Dalian Naval Academy,Dalian 116018) (2 Department of Computer science and technology,Neusoft institute of information,Dalian 116023) |
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| Abstract: | This paper presents an ARMA system model for underwater acoustic communication system.We apply an blind channel identification algorithm based on three-order statistics of output sequence.The algorithm can attain both the channel function and the original communication signal.The anti-noise nature of the algorithm using the higher-order statistics is stronger than the approach using the second order statistics.The method is more suitable for channel estimation with SNR lower than 12dB.Simulation results of underwater acoustic channel estimation show that it has a high estimation accuracy. |
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| Keywords: | AR model Three-order statistics Underwater acoustic channel Blind identification |
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