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TDOA Time Delay Estimation Algorithm Based on Cubic Spline Interpolation

  • Tianfeng Yan
  • Yu ZhangEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 905)

Abstract

In order to solve the fence effect caused by the fixed number of sampling points in the passive time difference positioning system in practical applications, a TDOA time delay estimation algorithm based on cubic spline interpolation is proposed. The algorithm uses cubic spline interpolation to interpolate the spectral peak curve of the cross-correlation function. While ensuring the stability and convergence, the spectral peak curve is smoother, the accuracy of the peak value is improved, and the accurate time delay estimation of the signal source is further obtained. The measured results show that the TDOA time delay estimation method based on cubic spline interpolation can solve the fence effect well and obtain the time delay estimation value accurately. This method can use the algorithm to improve the time delay estimation accuracy under the condition that the hardware sampling rate is fixed, thus reducing the dependence of passive time difference positioning on the system hardware.

Keywords

TDOA Fence effect Cubic spline interpolation Sampling rate 

Notes

Acknowledgement

This study is supported by Youth Science Foundation of Lanzhou Jiaotong University under Grant No. 2018003, Scientific Research plan projects of Gansu Education Department under Grant (2017C-09), Lanzhou Science and Technology Bureau under Grant (2018-1-51).

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.School of Electronic and Information EngineeringLanzhou Jiaotong UniversityLanzhouChina

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