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Blind estimation of shallow water acoustic channel
引用本文:LI Rongyan MA Yuanliang YANG Kunde. Blind estimation of shallow water acoustic channel[J]. 声学学报:英文版, 2007, 26(4): 345-357
作者姓名:LI Rongyan MA Yuanliang YANG Kunde
作者单位:[1]School of Electronics and Information Engineering, Tongji University Shanghai 200092 [2]Institute of Acoustics Engineering, Northwestern Polytechnical University Xi'an 710072
基金项目:国家自然科学基金;教育部博士基金;陕西省自然科学基金
摘    要:This paper proposed a method for blind estimation of underwater channels in shallow water environment by using received data at a single hydrophone or from single beam. First,the received signal is used for source signal reconstruction by means of signal-dependent TF(Time-Frequency)distribution,in association with instantaneous frequency estimation and TF inversion.Then the shallow-water channel estimation is achieved via WRELAX technique by use of the received signal and the estimated source signal.Finally,the results of numerical simulation and experimental test from real data taken in South China Sea trial have proved satisfactory.It is shown that the proposed method is useful for underwater channel estimation.

关 键 词:听觉通道 浅水 实验 评估
修稿时间:2006-06-24

Blind estimation of shallow water acoustic channel
LI Rongyan,MA Yuanliang,YANG Kunde. Blind estimation of shallow water acoustic channel[J]. Chinese Journal of Acoustics, 2007, 26(4): 345-357
Authors:LI Rongyan  MA Yuanliang  YANG Kunde
Abstract:This paper proposed a method for blind estimation of underwater channels in shallow water environment by using received data at a single hydrophone or from single beam.First, the received signal is used for source signal reconstruction by means of signal-dependent TF (Time-Frequency) distribution, in association with instantaneous frequency estimation and TF inversion. Then the shallow-water channel estimation is achieved via WRELAX technique by use of the received signal and the estimated source signal. Finally, the results of numerical simulation and experimental test from real data taken in South China Sea trial have proved satisfactory. It is shown that the proposed method is useful for underwater channel estimation.
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