Multidimensional Scaling Based TDOA Localization Algorithm with Sensor Location Errors

ZHU Guo-hui; FENG Da-zheng; NIE Wei-ke

doi:10.3969/j.issn.0372-2112.2016.01.004

您当前的位置：

首页 >

文章列表页 >

Multidimensional Scaling Based TDOA Localization Algorithm with Sensor Location Errors

更新时间：2025-07-16

- Multidimensional Scaling Based TDOA Localization Algorithm with Sensor Location Errors
- Acta Electronica Sinica Vol. 44, Issue 1, Pages: 21-26(2016)
- 作者机构：
  
  1. 西安电子科技大学雷达信号处理国家重点实验室,陕西,西安,710071
  2. 西北大学信息科学与技术学院,陕西,西安,710127
  3. 西安电子科技大学雷达信号处理国家重点实验室,陕西,西安,710071
  4. 西北大学信息科学与技术学院,陕西,西安,710127
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61271293, No.61373177)
- DOI：10.3969/j.issn.0372-2112.2016.01.004
  CLC： TN911.7
- Published Online：25 January 2016，
  
  Published：2016
- 稿件说明：
移动端阅览
ZHU Guo-hui, FENG Da-zheng, NIE Wei-ke. Multidimensional Scaling Based TDOA Localization Algorithm with Sensor Location Errors[J]. Acta Electronica Sinica, 2016, 44(1): 21-26.
DOI：

ZHU Guo-hui, FENG Da-zheng, NIE Wei-ke. Multidimensional Scaling Based TDOA Localization Algorithm with Sensor Location Errors[J]. Acta Electronica Sinica, 2016, 44(1): 21-26. DOI： 10.3969/j.issn.0372-2112.2016.01.004.

摘要

传统时差定位方法一般是在假设传感器位置信息准确已知的前提下进行的.然而在实际情形中

传感器位置信息往往含有随机误差

这些误差会严重影响对目标的定位精度.针对这一问题

提出了一种传感器位置误差情况下的多维标度时差定位算法.首先利用传感器位置和时差构造对称标量积矩阵

然后利用子空间理论建立关于目标位置的伪线性方程

最后通过设计加权矩阵来减少传感器位置误差对目标定位精度的影响.采用一阶小噪声扰动理论求出了目标位置估计的偏差及协方差矩阵

并通过仿真实验验证了该算法的有效性.

Abstract

Conventional location algorithms are based on the assumption that the sensor locations are exactly known.However

in practical situations

the sensor positions generally include random errors

which can considerably reduce the source localization accuracy.To tackle this problem

a multidimensional scaling analysis based time difference of arrival (TDOA) localization algorithm with sensor location errors is proposed.The proposed algorithm firstly constructs a symmetric matrix using the true sensor locations and TDOAs.Then a set of pseudo-linear equations with respect to the source position is formulated from the subspace theory.Finally

a weighting matrix is designed to mitigate the influence of the sensor location errors on the localization accuracy.The estimation bias and covariance matrix are derived by using first-order perturbation analysis.Simulation study validates the efficiency of the proposed algorithm.

关键词

Keywords

references

Views

1069

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on High Precision Ranging and Positioning Based on GFDM Signal for B5G/6G

Passive Location for Netted Radar on Distributed Jammers

Single Observer Passive Location and Tracking Arithmetic Using Look-Acceleration and Angle Rate of Changing Information

Passive Location Algorithm for Moving Emitter by Estimating Its Velocity Vector Based on Single Non-moving Observer

Single Observer Passive Location of 3-D Fixed Emitter Using Direction and Its Rate of Changing Information

Related Author

SU Lin-lin

CHEN Liang

CHEN Fei-fei

ZHOU Xin

JIAO Zhen-hang

LIU Zhao-liang

SHEN Yang

LI Xiu-he

Related Institution

State key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University

School of Electronic Science and EngineeringNational University of Defense TechnologyChangshaHunan 410073China

Unit 63880LuoyangHenan 471003China

Electronic Engineering Institute of PLAHefeiAnhui 230037China

School of Electronic Science and Engineering,National University of Defense Technology

⁰