New TDOA algorithm based on Taylor series expansion in cellular networks

ZHANG Ling-wen; TAN Zhen-hui

您当前的位置：

首页 >

文章列表页 >

New TDOA algorithm based on Taylor series expansion in cellular networks

更新时间：2024-10-14

- New TDOA algorithm based on Taylor series expansion in cellular networks
- Issue 6, Pages: 7-11(2007)
- 作者机构：
  
  1. 北京交通大学轨道交通控制与安全国家重点实验室
  2. 北京交通大学轨道交通控制与安全国家重点实验室,北京,100044
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN929.53
- Published：2007
- 稿件说明：
移动端阅览
ZHANG Ling-wen, TAN Zhen-hui. New TDOA algorithm based on Taylor series expansion in cellular networks[J]. 2007, (6): 7-11.
DOI：

ZHANG Ling-wen, TAN Zhen-hui. New TDOA algorithm based on Taylor series expansion in cellular networks[J]. 2007, (6): 7-11. DOI：

摘要

在蜂窝移动通信系统中

TDOA(到达时间差)是目前最有发展潜力的无线定位技术。其中的泰勒级数展开算法因为具有精度高和顽健性强等特点在求解非线性定位方程组中得到了广泛的应用

但它对初始值有很强的依赖性。在此基础上

提出一种混合优化算法(HOA

hybrid optimizing algorithm)将泰勒级数展开算法和最速下降法有机结合

扬长避短

既继承了泰勒级数展开算法的精确性和顽健性

又具备最速下降法迭代前期收敛速率快

计算量小的优点。仿真结果表明HOA算法能显著提高传统的泰勒级数展开算法的定位精度和定位效率。

Abstract

TDOA is the most potential positioning technique in cellular mobile telecommunication systems.Taylor series expansion method has been widely used in solving nonlinear equations for its high accuracy and good robustness.However

the performance of Taylor’s method depends highly on the initial estimation.Therefore one new algorithm（HOA

hybrid optimizing algorithm） was proposed which combines the Taylor series expansion method with steepest decent method.Steepest decent method is with the properties of fast convergence at the initial iterativeness and small computation complexity.HOA takes great advantages of both methods.Simulation results show that HOA has achieved better performance on positioning accuracy and efficiency.

关键词

Keywords

references

Views

1545

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

New type of hot spot cluster centered positioning algorithm and its application

RIS substructure-based direct localization algorithm with multipath suppression via compressed sensing

Related Author

Shao-wu ZHOU

Bo-wei HUANG

Zhao-fu ZENG

Ming-hui ZHOU

Jie ZHAN

Li Jingjing

Wang Jianhui

Liu Lihao

Related Institution

College of Information and Electrical Engineering,Hunan University of Science and Techno gy

College of Information Systems Engineering, Information Engineering University

AI问答

⁰