| 基于传感器网络的水下声音源定位方法研究 |
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| 引用本文： | 徐建华,任超.基于传感器网络的水下声音源定位方法研究[J].计算机测量与控制,2011,19(7). |
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| 作者姓名： | 徐建华 任超 |
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| 作者单位： | 辽宁工程技术大学电气与控制学院,辽宁葫芦岛,125105 |
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| 摘 要： | 提出一种分层结构的自组织无线传感器网络(WSN)用于水下声音源的定位研究,可以广泛应用于军事、民用监控等场景;在修正的声音源衰减模型基础上,提出一种改进的非线性最小二乘算法以及极大似然算法用于水下声音源定位;仿真试验对比研究了两种算法在不同的传感器节点以及背景噪声情况下对预估定位误差的影响;试验结果表明了这种分层结构的WSN用于水下声音源定位是可行的,同时验证了最小二乘算法以及极大似然两种算法定位的有效性。
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| 关 键 词： | 无线传感器网络 声音源定位 极大似然预估 改进非线性最小二乘法 |
Underwater Acoustic Sensor Network Based Localization Method |
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| Xu Jianhua,Ren Chao.Underwater Acoustic Sensor Network Based Localization Method[J].Computer Measurement & Control,2011,19(7). |
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| Authors: | Xu Jianhua Ren Chao |
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| Affiliation: | Xu Jianhua,Ren Chao(Institute of Electrical and Control,Liaoning Technical University,Huludao 125105,China) |
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| Abstract: | A hierarchical structure of self-organizing wireless sensor network(WSN) for underwater sound source localization can be widely used in military,civilian surveillance scene.In the revised model based on the attenuation of the sound source,an improved nonlinear least squares algorithm and maximum likelihood algorithm for underwater sound source localization is proposed.Comparison of simulation algorithms in two different sensor nodes and the background noise impact on the estimation error.The results show th... |
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| Keywords: | wireless sensor networks sound source localization maximum likelihood estimate application of improved nonlinear least squares |
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