Optimization Method for Ultra-Wideband Base Station Configuration Based on Multi-Parameter Fusion

CHEN Zhao; WANG Mei; ZHOU Zou; YANG Fan; ZHANG Guo-li; QIU Hong-bing

doi:10.12263/DZXB.20210618

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Optimization Method for Ultra-Wideband Base Station Configuration Based on Multi-Parameter Fusion

PAPERS | 更新时间：2025-12-08

- Optimization Method for Ultra-Wideband Base Station Configuration Based on Multi-Parameter Fusion
- ACTA ELECTRONICA SINICA Vol. 51, Issue 10, Pages: 2855-2865(2023)
- 作者机构：
  
  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
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(61771151);Guangxi Key R&D Plan Project
- DOI：10.12263/DZXB.20210618
  CLC： TN828.6;
- Received：15 May 2021，
  
  Revised：2021-10-31，
  
  Published：25 October 2023
- 稿件说明：
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.

摘要

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

具有较高的稳定性.

Abstract

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

which has high stability.

关键词

Keywords

references

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