Maximum flattened fractional delay filter based on farrow structure

Shuang Du; Yaoliang Song; Congwei Jin; Yuting Zhu

doi:10.1117/12.3006142

10 October 2023 Maximum flattened fractional delay filter based on farrow structure

Shuang Du, Yaoliang Song, Congwei Jin, Yuting Zhu

Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 127992X (2023) https://doi.org/10.1117/12.3006142
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia

Abstract

The fractional delay filters are widely used in beamforming of broadband signals; however, conventional digital fractional delay filters are associated with high computational complexity. The Farrow structure fractional delay filter features a multi-stage sub-filter parallel structure, where the fractional delay is not affected by the sub-filter coefficients, thereby minimizing computational complexity. Nevertheless, the conventional Farrow structure is plagued by considerable passband fluctuations and high-frequency errors. To tackle these concerns, this article proposes a Farrow structure fractional delay filter design approach based on the maximum flatness method. This technique employs the maximum flatness method to design Farrow structure sub-filters, thereby reducing high-frequency errors and passband fluctuations compared to the conventional Farrow structure.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shuang Du, Yaoliang Song, Congwei Jin, and Yuting Zhu "Maximum flattened fractional delay filter based on farrow structure", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 127992X (10 October 2023); https://doi.org/10.1117/12.3006142

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KEYWORDS

Tunable filters

Design and modelling

Optical filters

Digital filtering

Signal filtering

Error analysis

Electronic filtering

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