An indoor intelligent localization algorithm based on RSSI

WANG Mei; ZHENG Chen

doi:10.13873/j.1000-97872010.12.041

Chinese

您当前的位置：

首页 >

文章列表页 >

An indoor intelligent localization algorithm based on RSSI

更新时间：2025-09-11

- An indoor intelligent localization algorithm based on RSSI
- Vol. 29, Issue 12, Pages: 114-117(2010)
- 作者机构：
  
  桂林电子科技大学
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872010.12.041
  CLC： TN929.5;TP212.9
- Published：2010
- 稿件说明：
移动端阅览
[1]王玫,郑晨.一种基于RSSI测距的室内自适应智能定位算法[J].传感器与微系统,2010,29(12):114-117.

WANG Mei, ZHENG Chen. An indoor intelligent localization algorithm based on RSSI[J]. 2010, 29(12): 114-117.
[1]王玫,郑晨.一种基于RSSI测距的室内自适应智能定位算法[J].传感器与微系统,2010,29(12):114-117. DOI： 10.13873/j.1000-97872010.12.041.

WANG Mei, ZHENG Chen. An indoor intelligent localization algorithm based on RSSI[J]. 2010, 29(12): 114-117. DOI： 10.13873/j.1000-97872010.12.041.

摘要

为进一步提高定位精度

提出一种改进的三边定位算法:根轴定位算法

并将路径损耗指数（PLE）的实时值运用在根轴定位算法中

形成自适应智能定位系统。计算机仿真结果表明:该算法具有更小的定位误差

改善了系统的稳定性。

Abstract

In order to improve positioning precision

an improved algorithm for trilateration of radical axis positioning algorithm was presented.At the same time

the real-time value of path loss exponent（PLE）is used in the radical axis positioning algorithm to form self-adaptive intelligent positioning system.Computer simulation results show that this algorithm has smaller positioning errors and the stability of the system is improved.

关键词

Keywords

references

模拟环境激励下结构模态参数识别试验研究 [J]. 纪晓东,钱稼茹,徐龙河. 清华大学学报(自然科学版) . 2006(06)

基于RSSI的无线传感器网络加权质心定位算法 [J]. 陈维克,李文锋,首珩,袁兵. 武汉理工大学学报(交通科学与工程版) . 2006(02)

Views

262

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on positioning algorithm of complex surface feature cloth

Design of RFID indoor positioning system based on phase difference ranging

Triangle centroid close range localization algorithm based on RPL

Design on cruise missiles positioning system based on geomagnetic field disturbances detection

Research on a RF localization algorithm based on wireless sensor networks

Related Author

HU Wei

PENG Ce

JIANG Jin-tao

LUO Jian-yu

ZHANG Wei-qiang

LAN Wei-tao

CHAI Lin-xiang

YANG Lei

Related Institution

College of Electrical Engineering and Automation,Henan University of Technology

Faculty of Electrical Engineering and Computer Science,Ningbo University

School of Computer Science and Technology,Southwest University of Science and Technology

National Key Laboratory for Electronic Measurement Technology,North University of China

System Control and Information Processing Group,Research Institute of Micro/Nano Science and Technology,Shanghai Jiao Tong University

⁰