1.桂林电子科技大学认知无线电与信息处理省部共建教育部重点实验室,广西桂林 541004
2.华南理工大学电子与信息学院,广东广州 510640
3.桂林理工大学信息科学与工程学院,广西桂林 541007
4.桂林电子科技大学广西无线宽带通信与信号处理重点实验室,广西桂林 541004
[ "陈兆 男,1996年生,广东潮州人. 现为华南理工大学电子与信息学院博士研究生. 主要研究方向为多传感器融合、超宽带室内定位.E-mail: chenzhao4561@outlook.com" ]
[ "王 玫 女,1963年生,山西太原人.现为桂林电子科技大学信息与通信学院教授、博士生导师.主要研究方向为位置感知和协同定位、传感器网络、能效优化等.E-mail: mwang@guet.edu.cn" ]
[ "周陬(通讯作者) 男,1983年生,湖北松滋人.2007年获华中科技大学信息与通信工程专业博士学位.现为桂林电子科技大学副教授,高级工程师,硕士生导师.主要研究方向为无人机群智协同通信与感知网络、低轨卫星通信网络、认知无线电、位置感知与建图、物联网与大数据技术应用等.中国电子学会会员编号:E190060518M.E-mail: zhouzou@guet.edu.cn" ]
[ "杨 帆 男,1995年生,河北保定人.现为桂林电子科技大学硕士研究生.主要研究方向为超宽带室内定位的基站选择.E-mail: yangfan2021@163.com" ]
[ "张国立 男,1996年生,安徽阜阳人.现为桂林电子科技大学硕士研究生.主要研究方向为嵌入式系统设计、室内定位与建图.E-mail: zglguoli@gmail.com" ]
[ "仇洪冰 男,1963年生,江苏如皋人.现为桂林电子科技大学信息与通信学院教授、博士生导师.主要研究方向为宽带无线通信、通信信号处理、辐射源定位等.中国电子学会会员编号:E190013474M.E-mail: qiuhb@guet.edu.cn" ]
收稿:2021-05-15,
修回:2021-10-31,
纸质出版:2023-10-25
移动端阅览
陈兆,王玫,周陬等.基于多参数融合的超宽带基站布设优化方法[J].电子学报,2023,51(10):2855-2865.
CHEN Zhao,WANG Mei,ZHOU Zou,et al.Optimization Method for Ultra-Wideband Base Station Configuration Based on Multi-Parameter Fusion[J].ACTA ELECTRONICA SINICA,2023,51(10):2855-2865.
陈兆,王玫,周陬等.基于多参数融合的超宽带基站布设优化方法[J].电子学报,2023,51(10):2855-2865. DOI: 10.12263/DZXB.20210618.
CHEN Zhao,WANG Mei,ZHOU Zou,et al.Optimization Method for Ultra-Wideband Base Station Configuration Based on Multi-Parameter Fusion[J].ACTA ELECTRONICA SINICA,2023,51(10):2855-2865. DOI: 10.12263/DZXB.20210618.
超宽带室内定位精度受非视距传播(Non-Line Of Sight,NLOS)、多径效应、基站布设等因素影响,而这些因素均与基站的布设阵型有关.因此,本文提出一种基于位置精度稀释因子(Positioning Dilution Of Precision, PDOP)、到达时间差(Time Difference Of Arrival, TDOA)测量误差和克拉美劳界的基站布设优化数学模型,可用遗传算法和萤火虫算法等智能算法求解.理论推导和仿真测试表明优化后的基站布设阵型相较于传统的立方体8基站阵型具有更好的平均误差和方差.14.5 m × 7.6 m × 3 m展厅的实测实验结果表明,经过优化后的基站布设阵型定位精度提高了0.713 2 cm,且方差减小了50.649 6 cm
2
具有较高的稳定性.
Ultra-wideband indoor positioning accuracy is affected by Non-Line of Sight (NLOS)
multipath effect
base station configuration and other factors
and these factors are related to the base station configuration. Therefore
this paper proposes a base station configuration optimization mathematical model based on positioning dilution of precision (PDOP)
time difference of arrival (TDOA) measurement error and Cramer-Rao bound
which can be solved by intelligent algorithms such as genetic algorithm and firefly algorithm. Theoretical derivation and simulation test show that the optimized base station configuration has better average error and variance than the traditional cuboid 8 base station configuration. The experimental results in 14.5 m × 7.6 m × 3 m exhibition hall show that the positioning accuracy of the optimized base station configuration is improved by 0.713 2 cm
and the variance is reduced by 50.649 6 cm
2
which has high stability.
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