Performance Analysis and Improvement for TDOA Source Localization in the Presence of Synchronization Clock Bias

doi:10.3969/j.issn.0372-2112.2018.06.001

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Performance Analysis and Improvement for TDOA Source Localization in the Presence of Synchronization Clock Bias

更新时间：2025-07-08

- Performance Analysis and Improvement for TDOA Source Localization in the Presence of Synchronization Clock Bias
- Acta Electronica Sinica Vol. 46, Issue 6, Pages: 1281-1288(2018)
- 作者机构：
  
  1. 军事经济学院,湖北,武汉,430035
  2. 解放军信息工程大学信息系统工程学院,河南,郑州,450001
  3. 国家数字交换系统工程技术研究中心,河南,郑州,450002
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61201381, No.61401513, No.61772548);China Postdoctoral Science Foundation (No.2016M592989);Excellent Youth Fund of Information Engineering University (No.2016603201);Independent innovation project of Information Engineering University (No.2016600701);Research Projects Within a Department (No.2015201001, No.2015502801, No.2015205901)
- DOI：10.3969/j.issn.0372-2112.2018.06.001
  CLC： TN911.7
- Published Online：25 June 2018，
  
  Published：2018
- 稿件说明：
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Performance Analysis and Improvement for TDOA Source Localization in the Presence of Synchronization Clock Bias[J]. Acta Electronica Sinica, 2018, 46(6): 1281-1288.
DOI：

Performance Analysis and Improvement for TDOA Source Localization in the Presence of Synchronization Clock Bias[J]. Acta Electronica Sinica, 2018, 46(6): 1281-1288. DOI： 10.3969/j.issn.0372-2112.2018.06.001.

摘要

同步时钟偏差会显著增加时差（TDOA）定位误差，该文针对这一问题进行了理论性能分析，并提出了改进方法.首先，分析了时钟偏差存在下参数估计方差的克拉美罗界（CRB），给出了关于目标位置估计方差更为闭式的CRB表达式，随后基于最大似然（ML）估计准则和泰勒级数（TS）定位方法，定量推导了时钟偏差对于TDOA定位精度的影响.接着，提出了可抑制时钟偏差的降维TS定位方法，并且给出了时钟偏差的ML闭式解.最后，数值实验验证了文中理论分析的有效性，并且新方法可以有效抑制同步时钟偏差的影响.

Abstract

Synchronization clock bias can significantly increase the localization errors.In order to solve this problem

this paper presents theoretical analysis and the improved method.First

the Cramr-Rao bound(CRB) on the parameter estimation is shown in the presence of synchronization clock bias.A more compact CRB expression for the source position estimation is obtained.Based on the maximum likelihood(ML)criterion and the Taylor series(TS) localization method

an analytical expression for the mean square error(MSE) of the source position estimation is also derived when the estimator assumes the clock bias does not exist.Subsequently

the localization method based on dimension-reduction TS iteration is presented and the closed-form ML solution for the clock bias is also given.Finally

numerical experimental results support the validation of the theoretical analysis

and also demonstrate that the proposed method can mitigate the effects of clock bias.

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