单基站基于波达角度的刚体位置姿态最大似然估计

姚晓峰; 吴圣兰; 周彪; 庞敏

doi:10.13442/j.gnss.1008-9268.2020.06.016

单基站基于波达角度的刚体位置姿态最大似然估计

doi: 10.13442/j.gnss.1008-9268.2020.06.016

姚晓峰¹,
吴圣兰²,
周彪^2, ,,
庞敏²

1. 江苏省物联网应用技术重点建设实验室(无锡太湖学院), 无锡 214122;
2. 江南大学物联网工程学院, 无锡 214122

基金项目:

国家自然科学基金青年科学基金（61703185）；江苏省物联网应用技术重点建设实验室开放课题基金（18WXWL08）

详细信息

作者简介:
姚晓峰(1974-),男,硕士,讲师,主要研究方向为卫星定位追踪,人工智能与模式识别,无线射频识别技术.

吴圣兰(1995-),女,硕士研究生,主要研究方向为卫星无源定位,刚体定位.

周彪(1989-),男,博士,副教授,主要研究方向为非合作目标卫星无源定位算法,刚体定位测姿.

通信作者:
周彪 E-mail:zhoubiao@jiangnan.edu.cn

中图分类号: TP242
计量
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- PDF下载量: 15
- 被引次数: 0
出版历程
- 收稿日期: 2020-07-20
- 网络出版日期: 2021-04-09

Maximum likelihood estimators for rigid body localization using DOA measurement

1. Jiangsu Key Construction Laboratory of IoT Application Technology. (Taihu University of Wuxi), Wuxi 214122, China;
2. School of Internet of things engineering, Jiangnan University, Wuxi 214122, China

摘要

摘要: 针对刚体定位同时估计目标的位置和姿态信息的问题，研究了在三维空间中利用单基站进行刚体定位（RBL）的框架.该框架采用单个基站对安装在刚性目标表面的小规模无线传感器信号的波达方向进行测量，并将其与传感器拓扑信息融合，提出了两种用于RBL的最大似然估计算子.利用改进的高斯-牛顿算法对旋转矩阵和平移向量的最大似然估计算子进行优化估计，解算出了目标物体的三维位置和姿态.仿真结果表明，文中提出的最大似然算子可以接近理论克拉美罗下限，并且在收敛成功率和运算成本方面具有较为出色的性能.
- 单基站 /
- 定位测姿 /
- 最大似然估计 /
- 波达方向 /
- 收敛成功率
Abstract: Rigid body localization (RBL) not only estimates the position of the target, but also obtains the attitude information of the target. The RBL framework of single base station is studied in three-dimensional space. This framework uses a single base station to measure the direction of arrival (DOA) of signal from small-scale wireless sensor network signal installed on the rigid target surface, and then fuses the DOA measurement with the network topology information, and finally proposes two maximum likelihood estimators (MLE) for RBL purpose. The improved Gauss Newton algorithm is adopted to optimize the MLEs of rotation matrix and translation vector and the three-dimensional position and attitude of the object are estimated. The simulation results show that the proposed MLEs can approach the theoretical Cramer Rao Lower Bound, and have better performance with respect to convergence success rate and computation cost.
- single base station /
- position and attitude estimation /
- maximum likelihood estimator /
- direction of arrival /
- convergence success rate

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