Self-localization method of RTI nodes based on probability density

WANG Manyi; QIN Xuliang; WANG Zhichao; WEN Zida

doi:10.13873/j.1000-9787(2019)10-0021-04

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Self-localization method of RTI nodes based on probability density

更新时间：2025-09-11

- Self-localization method of RTI nodes based on probability density
- Issue 10, Pages: 21-24(2019)
- 作者机构：
  
  南京理工大学机械工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-9787(2019)10-0021-04
  CLC： TN929.5;TP212.9
- Published：2019
- 稿件说明：
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WANG Manyi, QIN Xuliang, WANG Zhichao, et al. Self-localization method of RTI nodes based on probability density[J]. 2019, (10): 21-24.
DOI：

WANG Manyi, QIN Xuliang, WANG Zhichao, et al. Self-localization method of RTI nodes based on probability density[J]. 2019, (10): 21-24. DOI： 10.13873/j.1000-9787(2019)10-0021-04.

摘要

针对无线层析成像(RTI)定位系统部署过程中需要大量时间和人力测量传感器节点位置的问题

提出一种基于概率密度的RTI节点自定位方法。以区域的概率密度作为权重

计算出区域质心的加权平均值作为RTI节点的位置坐标。现场试验证明:基于概率密度的RTI节点自定位方法不仅降低了原有节点自定位算法的复杂度

提高了RTI系统的部署效率

而且提高了定位结果的精度。

Abstract

Aiming at the problem that the radio tomographic image（RTI） localization system node deployment process requires much time and manpower to measure position of sensor node

a method based on probability density for RTI node self-localization is proposed.The method uses the probability density of the region as the weight

and calculates the weighted average of the region centroid as the position coordinate of the RTI node.The validity of the method is verified by field test.The probability density-based RTI node self-positioning method not only reduces the complexity of the original node self-localization algorithm and greatly improves the deployment efficiency of the RTI system

but also enhance the positioning precision.

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