| 声纳阵列网络基于移动信标到达角的渐进最优节点自定位算法 |
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| 引用本文： | 骆吉安,谭智文,郭云飞. 声纳阵列网络基于移动信标到达角的渐进最优节点自定位算法[J]. 传感技术学报, 2016, 29(3): 403-410. DOI: 10.3969/j.issn.1004-1699.2016.03.017 |
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| 作者姓名： | 骆吉安 谭智文 郭云飞 |
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| 作者单位： | 杭州电子科技大学物联感知与信息融合实验室，杭州310018;七一五研究所声纳技术国防科技重点实验室，杭州310012;杭州电子科技大学物联感知与信息融合实验室,杭州,310018 |
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| 基金项目： | 浙江省信号处理重点实验室开放基金项目(ZJKL_4_SP-OP2014-01)；七一五所声纳技术国防科技重点实验室开放基金项目(KF201303) |
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| 摘 要： | 针对水下声纳阵列网络节点自定位问题，提出一种基于移动信标到达角的三维总体最小二乘（TLS）节点自定位算法。首先给出了基于方位角和俯仰角的变量含误差模型，并根据该模型提出三维TLS算法，证明三维TLS算法随信标广播次数增加是渐进最优估计，仿真结果验证所提出算法的均方根误差渐进达到CRLB。
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| 关 键 词： | 声纳阵列网络 节点自定位 总体最小二乘 移动信标 方位角和俯仰角 |
Asymptotically Optimum Bearing-Only Self-Localization for Sonar Array Network Nodes Based on Moving beacon |
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| LUO Jian,TAN Zhiwen,GUO Yunfei. Asymptotically Optimum Bearing-Only Self-Localization for Sonar Array Network Nodes Based on Moving beacon[J]. Journal of Transduction Technology, 2016, 29(3): 403-410. DOI: 10.3969/j.issn.1004-1699.2016.03.017 |
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| Authors: | LUO Jian TAN Zhiwen GUO Yunfei |
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| Abstract: | This paper presents a 3D total least-squares(TLS)algorithm to solve the self-localization problem using azimuth/elevation angles with regarding to a moving beacon in a sonar array network. First we linearize the azimuth and elevation measurement equations and show that the new model fits a class of error in variables(EIV)models. Then the 3D TLS algorithm is proposed based on the EIV model and it is proved to be asymptotically optimal. The simulations show that the mean squared error of the proposed estimator achieves the CRLB asymptotically. |
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| Keywords: | sonar array networks node self-localization total least-squares moving beacon azimuth/elevation |
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