减轻环境和终端差异影响的无线定位方法

王结太; 官友廉; 杨小牛; 骆振兴; 于剑标

doi:10.11959/j.issn.1000-0801.2020006

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减轻环境和终端差异影响的无线定位方法

研究与开发 | 更新时间：2024-06-05

- 减轻环境和终端差异影响的无线定位方法
- Wireless positioning methods for mitigating the influence of environmental and terminal diversity
- 电信科学 2020年36卷第1期页码：88-100
- 作者机构：
  
  1. 嘉兴学院数理与信息工程学院，浙江嘉兴 314001
  2. 通信信息控制和安全技术重点实验室，浙江嘉兴 314033
  3. 75798部队，广东汕头 515062
  4. 江西信息应用职业技术学院，江西南昌 330043
- 作者简介：
  
  [ "王结太（1982- ），男，博士，嘉兴学院数理与信息工程学院副教授、通信信息控制和安全技术重点实验室工程师，主要研究方向为通信信号处理、无线传感器网络、无线定位等" ]
  [ "官友廉（1982- ），男，75798部队工程师，主要研究方向为装备科研" ]
  [ "杨小牛（1961- ），男，中国工程院院士，通信信息控制和安全技术重点实验室首席科学家、博士生导师，主要研究方向为软件无线电、通信信号处理、电子对抗" ]
  [ "骆振兴（1983- ），男，通信信息控制和安全技术重点实验室高级工程师，主要研究方向为通信信号处理、电子对抗" ]
  [ "于剑标（1982- ），男，江西信息应用职业技术学院副教授，主要研究方向为智能网络计算" ]
- 基金信息：
  
  国家自然科学基金资助项目;the Natural Science Foundation of China(61572014);浙江省自然科学基金资助项目;Natural Science Foundation of Zhejiang Province of China(LQ19A010005);浙江省自然科学基金资助项目;Natural Science Foundation of Zhejiang Province of China(LY17F030020);浙江省自然科学基金资助项目;Natural Science Foundation of Zhejiang Province of China(LQ15F010008);嘉兴市科技计划资助项目;Science and Technology Program of Jiaxing City of China(2015AY11009);嘉兴市科技计划资助项目;Science and Technology Program of Jiaxing City of China(2016AY13011)
- DOI：10.11959/j.issn.1000-0801.2020006
  中图分类号： TP393
- 网络出版日期：2020-01，
  
  纸质出版日期：2020-01-20
- 稿件说明：
移动端阅览
王结太, 官友廉, 杨小牛, 等. 减轻环境和终端差异影响的无线定位方法[J]. 电信科学, 2020,36(1):88-100.

Jietai WANG, Youlian GUAN, Xiaoniu YANG, et al. Wireless positioning methods for mitigating the influence of environmental and terminal diversity[J]. Telecommunications science, 2020, 36(1): 88-100.
王结太, 官友廉, 杨小牛, 等. 减轻环境和终端差异影响的无线定位方法[J]. 电信科学, 2020,36(1):88-100. DOI： 10.11959/j.issn.1000-0801.2020006.

Jietai WANG, Youlian GUAN, Xiaoniu YANG, et al. Wireless positioning methods for mitigating the influence of environmental and terminal diversity[J]. Telecommunications science, 2020, 36(1): 88-100. DOI： 10.11959/j.issn.1000-0801.2020006.

摘要

针对传统的基于测距和基于指纹的两大类算法，分别提出了优化方法，减轻或规避了环境参数对定位结果的影响，并通过仿真和实际场景实验进行了比较，比较对象包括传统的基准算法以及近期的相似工作。实验结果表明了算法的有效性，与传统的基准算法相比，定位精度提高了70%左右，与近期相似工作相比，定位精度也提高了20%左右，同时，环境参数的变化对提出算法的稳定性影响很小。

Abstract

Two optimization algorithms respectively were proposed according to the traditional two methods based on ranging and fingerprint-based to mitigate or circumvents the influence of environmental parameters on the position-ing results and compared traditional benchmark algorithms and recent similar work through simulation and actual scene experiments.The experimental results show the effectiveness of the algorithms:compared with the traditional benchmark algorithms

the positioning accuracy is improved by about 70%

compared with the recent similar work

the positioning accuracy is also improved by about 20%

at the same time

the change of the environmental parame-ters has little impact on the stability of the proposed algorithm.

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references

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