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.
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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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Yan, T., Zhang, Y. (2020). TDOA Time Delay Estimation Algorithm Based on Cubic Spline Interpolation. In: Liu, Q., Mısır, M., Wang, X., Liu, W. (eds) The 8th International Conference on Computer Engineering and Networks (CENet2018). CENet2018 2018. Advances in Intelligent Systems and Computing, vol 905. Springer, Cham. https://doi.org/10.1007/978-3-030-14680-1_18
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