A method of grid localization in WSNs using fusion of ultrasonic and radio frequency

JIANG Hua; HE Feng-hang; CHEN Wen-quan; MAO Jia; YUAN Guang-xin

doi:10.13873/j.1000-9787(2015)03-0024-04

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A method of grid localization in WSNs using fusion of ultrasonic and radio frequency

更新时间：2025-09-11

- A method of grid localization in WSNs using fusion of ultrasonic and radio frequency
- Vol. 34, Issue 3, Pages: 24-27(2015)
- 作者机构：
  
  中国科学院上海高等研究院城市公共安全中心
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-9787(2015)03-0024-04
  CLC： TN929.5;TP212.9
- Published：2015
- 稿件说明：
移动端阅览
[1]姜华,何风行,陈文权,毛嘉,苑广欣.一种基于超声和射频融合的无线传感器网络网格定位方法[J].传感器与微系统,2015,34(03):24-27.

JIANG Hua, HE Feng-hang, CHEN Wen-quan, et al. A method of grid localization in WSNs using fusion of ultrasonic and radio frequency[J]. 2015, 34(3): 24-27.
[1]姜华,何风行,陈文权,毛嘉,苑广欣.一种基于超声和射频融合的无线传感器网络网格定位方法[J].传感器与微系统,2015,34(03):24-27. DOI： 10.13873/j.1000-9787(2015)03-0024-04.

JIANG Hua, HE Feng-hang, CHEN Wen-quan, et al. A method of grid localization in WSNs using fusion of ultrasonic and radio frequency[J]. 2015, 34(3): 24-27. DOI： 10.13873/j.1000-9787(2015)03-0024-04.

摘要

提出了一种基于超声和射频融合的网格定位方法。首先对射频的无线信号强度进行筛选

采用压缩感知方法进行粗定位。然后基于粗定位结果对超声测量的计时结果进行评价和加权

以抵抗局部非视距（NLo S）环境影响。之后再迭代时进行进一步精细定位与超声计时结果的评价加权

直至达到终止条件。测试结果显示:所提出的融合定位方法的定位精度优于经典的CHAN算法

在实际测试中取得较好的定位性能。

Abstract

A grid localization method using fusion of ultrasonic and radio frequency is proposed. Firstly

wireless signal strength is screened for coarse localization by compressed sensing model. Then

timing results of ultrasonic measurement are evaluated and weighted based on coarse localization results

to conquer effect of local NLo S environment. Further

fine localization is performed and weighted by evaluation of ultrasonic timing result by iteration algorithm

until the termination condition is reached. Test results show that the proposed method achieves better localization precision than classical CHAN algorithm

and better localization property is achieved in practical test.

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Keywords

references

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基于压缩感知的无线传感器网络多目标定位算法 [J]. 何风行,余志军,刘海涛. 电子与信息学报 . 2012(03)

Cricket室内定位系统的研究与改进 [J]. 刘君,吴建国,褚曦丹,朱丽进,李炜. 计算机技术与发展 . 2011(05)

基于TDOA的超声波室内定位系统的设计与实现 [J]. 韩霜,罗海勇,陈颖,丁玉珍. 传感技术学报 . 2010(03)

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基于压缩感知的RSS室内定位系统的研究与实现 [D]. 冯辰. 北京交通大学 2011

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