传感技术学报2016，Vol.29Issue(3)：403-410,8.DOI:10.3969/j.issn.1004-1699.2016.03.017
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
Asymptotically Optimum Bearing-Only Self-Localization for Sonar Array Network Nodes Based on Moving Beacon
摘要
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.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Key words
sonar array networks/node self-localization/total least-squares/moving beacon/azimuth/elevation分类
信息技术与安全科学引用本文复制引用
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):403-410,8.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 （）
