基于RSSI的加权蜂窝形状质心定位算法 - 18新利直播

CN 41-1437/TS ISSN 2096-1553

基于RSSI的加权蜂窝形状质心定位算法

邹东尧,刘碧微,李晨

邹东尧, 刘碧微, 李晨. 基于RSSI的加权蜂窝形状质心定位算法[J]. 轻工学报, 2017, 32(1): 89-96. doi: 10.3969/j.issn.2096-1553.2017.1.013

引用本文:邹东尧, 刘碧微, 李晨. 基于RSSI的加权蜂窝形状质心定位算法[J]. 轻工学报, 2017, 32(1): 89-96.doi:10.3969/j.issn.2096-1553.2017.1.013

ZOU Dong-yao, LIU Bi-wei and LI Chen. The honeycomb-shaped weighted centroid positioning algorithm based on RSSI[J]. Journal of Light Industry, 2017, 32(1): 89-96. doi: 10.3969/j.issn.2096-1553.2017.1.013

Citation:ZOU Dong-yao, LIU Bi-wei and LI Chen. The honeycomb-shaped weighted centroid positioning algorithm based on RSSI[J]. Journal of Light Industry, 2017, 32(1): 89-96.doi:10.3969/j.issn.2096-1553.2017.1.013

基于RSSI的加权蜂窝形状质心定位算法

郑州轻工业学院计算机与通信工程学院, 河南郑州 450002
基金项目:河南省高等学校重点科研项目（15A520109）；河南省科技厅科技攻关项目（112102210321）；河南省产学研合作项目（122107000022）；研究生科技创新基金项目
中图分类号:TP397

The honeycomb-shaped weighted centroid positioning algorithm based on RSSI

College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China
Received Date:2016-05-24
Available Online:2017-01-15
CLC number:TP397

摘要:针对基于RSSI定位精度易受外界环境因素干扰这一缺点，提出一种带有加权函数的质心改进定位算法：1）通过对通信距离与测距误差之间关系的分析，采取最优通信距离来提高定位精度；2）根据整体环境的情况对区域进行划分，采用蜂窝正六边形布局信标节点，对划分的各区域进行环境参数最小二乘法拟合；3）利用高斯分布模型对实验数据进行预处理，通过对参考节点的加权运算来保证其可靠性.仿真实验表明，这一改进算法与传统的加权三角形质心定位算法相比，在效率与精度上都有一定的提高.
- 质心定位算法/
- RSSI/
- 加权函数/
- 最小二乘法拟合/
- 高斯分布模型
Abstract:Aiming at the problem that the positioning accuracy based on received signal strength (RSSI) algorithm was easily affected by environmental disturbance,an improved weighted centroid positioning algorithm was proposed.First,an optimal length was adopted to improve localization accuracy by analyzing the relationship between the communication distance and ranging error.Then,the localization area was divided into several honeycomb sub-regions with the optimal length according to the situation of the overall environment.And these honeycomb sub-regions developed their environmental parameters by the least squares fitting method.Last,RSSI values were filtrated by Gaussian distribution model and weighted arithmetic to ensure the reliability.The simulation results showed the improved algorithm had better efficiency and positioning accuracy,compared with the traditional weighted triangular centroid positioning algorithm.
- centroid positioning algorithm/
- RSSI/
- weigh-ted function/
- the least squares fitting/
- Gaussian distribution model
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沈阳化工大学材料科学与工程学院沈阳 110142

邹东尧, 刘碧微, 李晨. 基于RSSI的加权蜂窝形状质心定位算法[J]. 轻工学报, 2017, 32(1): 89-96. doi: 10.3969/j.issn.2096-1553.2017.1.013

引用本文:邹东尧, 刘碧微, 李晨. 基于RSSI的加权蜂窝形状质心定位算法[J]. 轻工学报, 2017, 32(1): 89-96.doi:10.3969/j.issn.2096-1553.2017.1.013

ZOU Dong-yao, LIU Bi-wei and LI Chen. The honeycomb-shaped weighted centroid positioning algorithm based on RSSI[J]. Journal of Light Industry, 2017, 32(1): 89-96. doi: 10.3969/j.issn.2096-1553.2017.1.013

Citation:ZOU Dong-yao, LIU Bi-wei and LI Chen. The honeycomb-shaped weighted centroid positioning algorithm based on RSSI[J]. Journal of Light Industry, 2017, 32(1): 89-96.doi:10.3969/j.issn.2096-1553.2017.1.013

基于RSSI的加权蜂窝形状质心定位算法

郑州轻工业学院计算机与通信工程学院, 河南郑州 450002

收稿日期: 2016-05-24
网络出版日期: 2017-01-15

基金项目:河南省高等学校重点科研项目（15A520109）；河南省科技厅科技攻关项目（112102210321）；河南省产学研合作项目（122107000022）；研究生科技创新基金项目

关键词:

摘要:针对基于RSSI定位精度易受外界环境因素干扰这一缺点，提出一种带有加权函数的质心改进定位算法：1）通过对通信距离与测距误差之间关系的分析，采取最优通信距离来提高定位精度；2）根据整体环境的情况对区域进行划分，采用蜂窝正六边形布局信标节点，对划分的各区域进行环境参数最小二乘法拟合；3）利用高斯分布模型对实验数据进行预处理，通过对参考节点的加权运算来保证其可靠性.仿真实验表明，这一改进算法与传统的加权三角形质心定位算法相比，在效率与精度上都有一定的提高.

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