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作 者:Dongzhou ZHAN Sitian WANG Shougui CAI Huarong ZHENG Wen XU
机构地区:[1]College of Information Science and Electronic Engineering,Zhejiang University,Hangzhou 310027,China [2]Key Laboratory of Ocean Observation-Imaging Testbed of Zhejiang Province,Ocean College,Zhejiang University,Zhoushan 316021,China
出 处:《Frontiers of Information Technology & Electronic Engineering》2023年第1期164-175,共12页信息与电子工程前沿(英文版)
基 金:Project supported by the National Key Research and Development Program of China(No.2017YFC0305900);the Zhejiang University K.P.Chao’s High Technology Development Foundation(No.2020ZL013)。
摘 要:In the underwater medium,the speed of sound varies with water depth,temperature,and salinity.The inhomogeneity of water leads to bending of sound rays,making the existing localization algorithms based on straightline propagation less precise.To realize high-precision node positioning in underwater acoustic sensor networks(UASNs),a multi-layer isogradient sound speed profile(SSP)model is developed using the linear segmentation approximation approach.Then,the sound ray tracking problem is converted into a polynomial root-searching problem.Based on the derived gradient of the signal’s Doppler shift at the sensor node,a novel underwater node localization algorithm is proposed using both the time difference of arrival(TDOA)and frequency difference of arrival(FDOA).Simulations are implemented to illustrate the effectiveness of the proposed algorithm.Compared with the traditional straight-line propagation method,the proposed algorithm can effectively handle the sound ray bending phenomenon.Estimation accuracy with different SSP modeling errors is also investigated.Overall,accurate and reliable node localization can be achieved.
关 键 词:Underwater acoustic sensor network Acoustic localization Sound speed profile Time difference of arrival(TDOA) Frequency difference of arrival(FDOA)
分 类 号:TN95[电子电信—信号与信息处理]
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