Digital NGD Design for FPGA-based Application

Negative Group Delay (NGD) remains a little-known concept in embedded digital signal processing, and most electronic designers are unfamiliar with its design and analysis. This paper presents a clear, step-by-step theoretical framework and a practical methodology for implementing baseband NGD using a low-order finite impulse response (FIR) filter. All FIR-based NGD parameters and characteristics can be defined under specific conditions based solely on the desired NGD value and the sampling frequency. Our synthesis results confirm that the realized time-advance increases with normalized frequency. We validate the approach through simulation and then demonstrate a proof-of-concept FPGA implementation. In transient experiments using a 3 kHz Gaussian pulse, the NGD circuit produces an advance of approximately $13 \mu$ s relative to the input signal and the NGD execution time is about $2 \mu \mathrm{~s}$.

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Publication Details

Published
2025-08-25
DOI
https://doi.org/10.1109/inscit66472.2025.11181019
Primary Topic
Diverse Perspectives in Modern Studies
Type
article
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Digital NGD Design for FPGA-based Application

Diverse Perspectives in Modern Studies
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Digital NGD Design for FPGA-based Application

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Abstract

Negative Group Delay (NGD) remains a little-known concept in embedded digital signal processing, and most electronic designers are unfamiliar with its design and analysis. This paper presents a clear, step-by-step theoretical framework and a practical methodology for implementing baseband NGD using a low-order finite impulse response (FIR) filter. All FIR-based NGD parameters and characteristics can be defined under specific conditions based solely on the desired NGD value and the sampling frequency. Our synthesis results confirm that the realized time-advance increases with normalized frequency. We validate the approach through simulation and then demonstrate a proof-of-concept FPGA implementation. In transient experiments using a 3 kHz Gaussian pulse, the NGD circuit produces an advance of approximately $13 \mu$ s relative to the input signal and the NGD execution time is about $2 \mu \mathrm{~s}$.

Centre National de la Recherche Scientifique (FR), Institut national de recherche en sciences et technologies du numérique (FR), Université de Montpellier (FR), University of French Guiana (GF), Institut de Recherche en Informatique et Systèmes Aléatoires (FR), Institut de Recherche pour le Développement (FR)
Openalex Percentile: Top 34%
Diverse Perspectives in Modern Studies
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