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节点扰动对最小二乘的UWSAN目标定位的影响 被引量:1

Sensitivity Analysis of Effects of Node Mobility on Target Location with Underwater Wireless Sensor Array Network(UWSAN) Based on Least Squares Approximation
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摘要 目标定位是无线传感器网络的重要任务之一,在水下无线传感器阵列网络中,可以依据每个阵列估计出的目标方位和阵列位置、基于最小二乘法确定出目标的位置。针对在海洋环境中阵列节点不容易固定,易受洋流和波浪的影响而漂移,文章重点研究节点扰动对基于最小二乘(LS)的水下无线传感器阵列网络的目标定位算法性能的影响。推导了算法对节点横坐标和纵坐标漂移的敏感性表达式,并将推导计算的结果与LS实际计算的结果相对比验证了推导的正确性,进而分析了节点三种参数(距离、方位和阵列密度)变化时节点漂移对定位性能的影响。 Target location is one of the important tasks of wireless sensor networks.Sections 1 and 2 of the full paper explain our sensitivity analysis method mentioned in the title.Their core consists of:(1) we point out that,in UWSAN,targets can be located by using the least squares(LS) method and according to the coordinates of arrays and the estimated direction of arrival(DOA);but the node is mobile because of the ocean waves and surf;(2) we perform the sensitivity analysis of the effects of node mobility on target location with UWSAN based on the LS method;(3) we derive the sensitivity equations of node mobility along X-coordinate and Y-coordinate.Section 3 verifies the correctness of the sensitivity equations by comparing the calculated results obtained with the sensitivity equations derived by us with the simulation results based on the LS method;furthermore,we analyze the effects of node mobility on the location performance of the UWSAN when the three parameters of distance,DOA and number of arrays change.
出处 《西北工业大学学报》 EI CAS CSCD 北大核心 2012年第2期217-221,共5页 Journal of Northwestern Polytechnical University
基金 国家自然科学基金委员会与中国民用航空局联合资助项目(61101189) 陕西省自然基金(2010JM8010)资助
关键词 最小二乘 目标定位 敏感度分析 节点扰动 analysis arrays calculations direction of arrival effects errors location least squares approximation numerical methods parameter estimation sensitivity analysis sensors simulation targets underwater acoustics wireless sensor networks node mobility target location
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参考文献7

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二级参考文献8

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共引文献1

同被引文献13

  • 1Kerri Stone, Tracy Camp. A Survey of Distance-Based Wireless Sensor Network Localization Techniques [ J ]. International Journal of Pervasive Computing and Communications, 2012, 8 (2) : 158 - 183.
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