基于室内地图推演与信号穿墙修正的定位优化方法
Positioning optimization method based on indoor map deduction and signal through-wall correction
- 通信学报 2022年43卷第10期 页码：146-156
- 作者机构：
1. 吉林大学通信工程学院，吉林 长春 130012
2. 巴斯大学自主机器人研究中心，巴斯 BA27AY
- 作者简介：
[ "孙大洋（1979− ），男，吉林农安人，博士，吉林大学副教授，主要研究方向为室内定位、无线网络定位、卫星拒止下的高精度定位等" ]
[ "石文孝（1960− ），男，黑龙江哈尔滨人，博士，吉林大学教授、博士生导师，主要研究方向为无线网络资源分配、光无线通信技术" ]
[ "张定国（1977− ），男，吉林辉南人，博士，英国巴斯大学教授，主要研究方向为机器人与人机交互" ]
- 基金信息：吉林省科技厅重点研发基金资助项目（工业领域）(20200401089GX)
DOI：10.11959/j.issn.1000-436x.2022187
中图分类号： TN92-
网络首发：2022-10，
纸质出版：2022-10-25
- 稿件说明：
移动端阅览
孙大洋, 石文孝, 张定国. 基于室内地图推演与信号穿墙修正的定位优化方法[J]. 通信学报, 2022,43(10):146-156.
Dayang SUN, Wenxiao SHI, Dingguo ZHANG. Positioning optimization method based on indoor map deduction and signal through-wall correction[J]. Journal on Communications, 2022, 43(10): 146-156.
孙大洋, 石文孝, 张定国. 基于室内地图推演与信号穿墙修正的定位优化方法[J]. 通信学报, 2022,43(10):146-156. DOI： 10.11959/j.issn.1000-436x.2022187.
Dayang SUN, Wenxiao SHI, Dingguo ZHANG. Positioning optimization method based on indoor map deduction and signal through-wall correction[J]. Journal on Communications, 2022, 43(10): 146-156. DOI： 10.11959/j.issn.1000-436x.2022187.
摘要
摘 要：针对室内定位中信号穿墙非视距传播带来的测量误差问题，提出了一种穿墙测距与视距测距相混合的穿墙修正定位优化方法。在室内典型的隔墙非视距场景中，建立了近似拟合信号穿墙传播特性的测距模型，将穿墙入射角、墙体结构、介电常数、墙体厚度等因素参数化，并借助室内地图进行节点与锚点间的隔墙判定，仅根据室内地图及冗余测距信息即可进行定位求解。仿真与UWB实测实验结果表明，在考虑信号穿墙传播的多变地图场景下，所提方法的室内定位平均精度优于加权最小二乘法的平方测距定位方法。
Abstract
An optimization method of through-wall corrected positioning based on mixed measurements of through-wall ranging and LoS ranging was proposed to solve the problem caused by NLoS measurement error.An approximate model of through-wall measurements was first proposed aiming at the typical through-wall NLoS scenario
which made indoor positioning method independent to the factors of the signal incident angle
the structure
the dielectric constant and the thickness of the wall.Then with the help of map deduction
whether there was a wall between the to-be-located node and the anchor node could be judged
and the positioning optimization method was proposed so that localization can be solved with only the redundant measurements.Simulations and UWB experiments show that in a variable map scenario considering through-wall propagation the proposed method outperforms SR-WLS (squared-range and weighted least square) in the aspect of average accuracy of indoor positioning.
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references
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