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论文:2022,Vol:40,Issue(6):1278-1287 |
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引用本文： |
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石海杰, 李京华, 常虹. 单水听器浅海声源被动定位方法研究[J]. 西北工业大学学报 |
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SHI Haijie, LI Jinghua, CHANG Hong. Study on passive location method of shallow water acoustic source with single hydrophone[J]. Journal of Northwestern Polytechnical University |
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| 单水听器浅海声源被动定位方法研究 |
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| 石海杰1,2, 李京华1, 常虹3 |
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1. 西北工业大学 电子信息学院, 陕西 西安 710072;
2. 中北大学 信息与通信工程学院, 山西 太原 030051;
3. 西安邮电大学 通信与信息工程学院, 陕西 西安 710121 |
| 摘要: |
| 针对浅海隐蔽低耗平台对目标探测的需求,将贝叶斯估计理论应用于水声定位领域,建立以概率密度函数为声源状态描述的水声定位模型,克服浅海环境非稳定和声场模型失配问题;采用直方图滤波法求解贝叶斯滤波问题,解决声源状态后验概率估计过程中积分求解的问题;提出分级网格划分直方图滤波法,有效提高迭代算法的效率;SWellEx-96实测数据和仿真结果表明,在浅海环境条件下,深度200 m,距离10 km的范围内,深度定位精度达到35 m,距离定位精度达到0.69 km,算法效率可以提高N1/2倍。 |
| 关键词:
贝叶斯估计
分级网格划分直方图滤波
浅海
水声定位
单水听器
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| Study on passive location method of shallow water acoustic source with single hydrophone |
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| SHI Haijie1,2, LI Jinghua1, CHANG Hong3 |
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1. School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710072, China;
2. School of Information and Communication Engineering, North University of China, Taiyuan 030051, China;
3. School of Communications and Information Engineering, Xi'an University of Posts & Telecommunications, Xi'an 710121, China |
| Abstract: |
| In order to meet the needs of target detection in shallow water with concealed and low energy consumption platform, the Bayesian estimation theory was applied to underwater acoustic location. The underwater acoustic location model was established based on probability density function as the description of sound source state, so as to overcome the problems of unstable shallow water environment and mismatching of sound field model. Histogram filtering method is used to solve the integral solution in the process of posterior probability estimation of sound source state. The hierarchical grid histogram filtering method is proposed for the first time, which effectively improves the efficiency of histogram filtering iterative algorithm. The measured data and simulation results of SWelleX-96 show that the depth positioning accuracy can reach 35 m and the distance positioning accuracy can reach 0.69 km within the range of 200 m deep and 10 km long in shallow water environment, and the efficiency of the algorithm can be improved by N1/2 times. |
| Key words:
Bayes estimation
hierarchical grid histogram filtering
shallow water
underwater acoustic location
single hydrophone
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| 收稿日期: 2021-12-20
修回日期:
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| DOI: 10.1051/jnwpu/20224061278 |
| 基金项目: 陕西省重点研发计划(2020GY-56)资助 |
| 通讯作者: 李京华(1964—),西北工业大学教授,主要从事信号与信息处理、声探测研究。e-mail:lihy6331@nwpu.edu.cn
Email：lihy6331@nwpu.edu.cn |
| 作者简介: 石海杰(1979—),西北工业大学博士研究生,主要从事水声信号处理研究
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| 作者相关文章 |
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| 石海杰 在本刊中的所有文章 |
| 李京华 在本刊中的所有文章 |
| 常虹 在本刊中的所有文章 |
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参考文献: |
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[1] 王奇, 陈航, 王英民, 等. 浅海环境下稳健的最小二乘匹配场定位算法[J]. 西北工业大学学报, 2017, 35(3):480-485 WANG Qi, CHEN Hang, WANG Yingmin, et al. Robust matched field localization algorithm based on least squares in shallow water[J]. Journal of Northwestern Polytechnical University, 2017, 35(3):480-485 (in Chinese)
[2] MICHALOPOULOU Z H, POLE A, ABDI A. Bayesian coherent and incoherent matched-field localization and detection in the ocean[J]. The Journal of the Acoustical Society of America, 2019, 146(6):4812-4820
[3] 李永飞, 赵航芳. 内波环境下的时频匹配场定位方法[J]. 哈尔滨工程大学学报, 2020, 41(10):1605-1610 LI Yongfei, ZHAO Hangfang. A time-frequency matched field location method in the presence of internal waves[J]. Journal of Harbin Engineering University, 2020, 41(10):1605-1610 (in Chinese)
[4] 薄连坤, 熊瑾煜, 张晓勇, 等. 利用拖船自噪声进行浅海环境参数贝叶斯反演[J]. 声学学报, 2019, 44(6):1017-1026 BO Liankun, XIONG Jinyu, ZHANG Xiaoyong, et al. Bayesian geoacoustic inversion of self-noise in shallow water[J]. Acta Acustica, 2019, 44(6):1017-1026 (in Chinese)
[5] GODIN O A. On sound propagation in a nonstationary ocean[J]. Doklady Physics, 2002, 47(9):639-642
[6] 李晓曼, 朴胜春, 张明辉, 等. 一种基于单水听器的浅海水下声源被动测距方法[J]. 物理学报, 2017, 66(18):114-127 LI Xiaoman, PIAO Shengchun, ZHANG Minghui, et al. A passive range method of underwater source based on single hydrophone[J]. Acta Physica Sinica, 2017, 66(18):114-127 (in Chinese)
[7] 谢亮, 王鲁军, 林旺生. 深海脉冲信号簇到达结构特征及其在水下声源定位中的应用[J]. 声学学报, 2021, 46(2):171-181 XIE Liang, WANG Lujun, LIN Wangsheng. Localization of underwater sound source using the characteristics of pulse cluster signal arrivals in deep sea[J]. Acta Acustica, 2021, 46(2):171-181 (in Chinese)
[8] ZHANG T, HAN G, GUIZANI M, et al. Peak extraction passive source localization using a single hydrophone in shallow water[J]. IEEE Trans on Vehicular Technology, 2020, 69(3):3412-3423
[9] WARNER G A, DOSSO S E, DETTMER J, et al. Bayesian environmental inversion of airgun modal dispersion using a single hydrophone in the Chukchi Sea[J]. The Journal of the Acoustical Society of America, 2015, 137(6):3009-3023
[10] OGISO S, MIZUTANI K, WAKATSUKI N, et al. Robust localization of mobile robot in reverberant rooms using acoustic beacons with iterative Bayesian filtering[C]//2018 International Conference on Indoor Positioning and Indoor Navigation, 2018
[11] 王彪, 朱志慧, 戴跃伟. 基于具有时序结构的稀疏贝叶斯学习的水声目标DOA估计研究[J]. 电子学报, 2016, 44(3):693-698 WANG Biao, ZHU Zhihui, DAI Yuewei. Direction of arrival estimation research for underwater acoustic target based on sparse Bayesian learing with temporally correlated source vectors[J]. Acta Electronica Sinica, 2016, 44(3):693-698 (in Chinese)
[12] REN Q Y, HERMAND J P. Bayesian tracking of time or space varying environment from ship noise recorded on a drifting vector sensor[C]//IEEE Oceans 2014-st.John's, 2014
[13] CHU N, NING Y, YU L, et al. A high-resolution and low-frequency acoustic beamforming based on Bayesian inference and non-synchronous measurements[J]. IEEE Access, 2020, 8:82500-82513
[14] GUO L, LIU J, ZHANG X, et al. Robust underwater acoustic channel estimation in impulsive noise environment[C]//2021 IEEE/CIC International Conference on Communications in China, 2021
[15] SUN D, LI X, CAO Z, et al. Acoustic robust velocity measurement algorithm Based on variational bayes adaptive Kalman filter[J]. IEEE Journal of Oceanic Engineering, 2020, 46(1):183-194
[16] DOSSO S E, WILMUT M J, NIELSEN P L. Bayesian source tracking via focalization and marginalization in an uncertain Mediterranean Sea environment[J]. The Journal of the Acoustical Society of America, 2010, 128(1):66-74
[17] DOSSO S E, WILMUT M J. Comparison of focalization and marginalization for Bayesian tracking in an uncertain ocean environment[J]. The Journal of the Acoustical Society of America, 2009, 125(2):717-722
[18] 李倩倩, 阳凡林, 张凯, 等. 不确定海洋环境中基于贝叶斯理论的声源运动参数估计方法[J]. 物理学报, 2016, 65(16):164304 LI Qianqian, YANG Fanlin, ZHANG Kai, et al. Moving source parameter estimation in an uncertain environment[J]. Acta Physica Sinica, 2016, 65(16):164304 (in Chinese)
[19] BOWMAN A W, AZZALINI A. Applied smoothing techniques for data analysis:the kernel approach with S-Plus illustrations[M]. Oxford, England:Oxford University Press, 1997 |
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