Research on fractional digital delay filter based on Farrow structure

Denghui Qin; Xu Yang; Shida Zhang; Tao Liu

doi:10.1117/12.2668040

20 April 2023 Research on fractional digital delay filter based on Farrow structure

Denghui Qin, Xu Yang, Shida Zhang, Tao Liu

Proceedings Volume 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022); 1260228 (2023) https://doi.org/10.1117/12.2668040
Event: International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 2022, Changchun, China

Abstract

Digital delay filter can realize signal delay of different receiving channelswhich is often used in the field of communication and many scenarios where delay affects signal analysis. At present, the existing delay algorithm is difficult to be directly applied to the scene because it can only delay integer sampling points, or because the algorithm is complex and the convergence speed is slow. For this, this paper improves the existing adaptive algorithm on the basis of Farrow structure and adaptive algorithm. The improved algorithm reduces the calculation amount of each iteration through the approximation method. The change of step length in the iteration process is analyzed mathematically, and the step length change function is constructed. The experimental results show that the improved algorithm reduces the number of iterative convergence by at least 4 times compared with the original algorithm, and has excellent performance in time delay estimation of unknown signals.

Citation Download Citation

Denghui Qin, Xu Yang, Shida Zhang, and Tao Liu "Research on fractional digital delay filter based on Farrow structure", Proc. SPIE 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 1260228 (20 April 2023); https://doi.org/10.1117/12.2668040

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KEYWORDS

Tunable filters

Digital filtering

Interpolation

Signal processing

Error analysis

Electronic filtering

Algorithm development

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