High-Accuracy Linearity Measurement of Broadband Frequency Chirps

High-resolution radar systems use fast and broadband frequency chirps to enable high resolutions with short measurement times. One challenge in these radar systems is minimizing the linearity error in the generated frequency chirps, directly influencing the achievable depth resolution and precision....

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Main Authors: Bent Walther, Andre Froehly, Thomas Musch, Marcel van Delden
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of Instrumentation and Measurement
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10985815/
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author Bent Walther
Andre Froehly
Thomas Musch
Marcel van Delden
author_facet Bent Walther
Andre Froehly
Thomas Musch
Marcel van Delden
author_sort Bent Walther
collection DOAJ
description High-resolution radar systems use fast and broadband frequency chirps to enable high resolutions with short measurement times. One challenge in these radar systems is minimizing the linearity error in the generated frequency chirps, directly influencing the achievable depth resolution and precision. Current measurement methods cannot meet the bandwidth requirements of modern chirp generators, making it difficult to determine the linearity error precisely. For this reason, we present a novel measurement method that uses a frequency divider to enable linearity measurements with very high accuracy using conventional measurement equipment. Since frequency dividers generate additional artifacts, such as harmonics, we present a novel correction algorithm to prevent these artifacts in the measurement results. The algorithmic framework utilizes a virtual digital frequency chirp to detect RMS frequency errors in the sub-Hz range unprecedentedly. Furthermore, the influence of the frequency divider is systematically characterized, enabling precise correction of its contributions to the measurement results. This method improves the accuracy of chirp linearity measurements and allows for the characterization of current linearity measurement systems. The approach was validated through experimental measurements, even under noise, aliasing, and harmonic conditions.
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institution Kabale University
issn 2768-7236
language English
publishDate 2025-01-01
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series IEEE Open Journal of Instrumentation and Measurement
spelling doaj-art-33df3a9bc3214400a1fa72813277d3d42025-08-20T03:47:41ZengIEEEIEEE Open Journal of Instrumentation and Measurement2768-72362025-01-01411410.1109/OJIM.2025.356685010985815High-Accuracy Linearity Measurement of Broadband Frequency ChirpsBent Walther0https://orcid.org/0009-0007-8872-1222Andre Froehly1https://orcid.org/0000-0001-8000-7533Thomas Musch2https://orcid.org/0000-0002-3924-0883Marcel van Delden3https://orcid.org/0000-0003-1808-3644Institute of Electronic Circuits, Ruhr University Bochum, Bochum, GermanyGroup 3D Sensor Systems, Fraunhofer Institute for High Frequency Physics and Radar Techniques FHR, Wachtberg, GermanyInstitute of Electronic Circuits, Ruhr University Bochum, Bochum, GermanyInstitute of Electronic Circuits, Ruhr University Bochum, Bochum, GermanyHigh-resolution radar systems use fast and broadband frequency chirps to enable high resolutions with short measurement times. One challenge in these radar systems is minimizing the linearity error in the generated frequency chirps, directly influencing the achievable depth resolution and precision. Current measurement methods cannot meet the bandwidth requirements of modern chirp generators, making it difficult to determine the linearity error precisely. For this reason, we present a novel measurement method that uses a frequency divider to enable linearity measurements with very high accuracy using conventional measurement equipment. Since frequency dividers generate additional artifacts, such as harmonics, we present a novel correction algorithm to prevent these artifacts in the measurement results. The algorithmic framework utilizes a virtual digital frequency chirp to detect RMS frequency errors in the sub-Hz range unprecedentedly. Furthermore, the influence of the frequency divider is systematically characterized, enabling precise correction of its contributions to the measurement results. This method improves the accuracy of chirp linearity measurements and allows for the characterization of current linearity measurement systems. The approach was validated through experimental measurements, even under noise, aliasing, and harmonic conditions.https://ieeexplore.ieee.org/document/10985815/Chirp modulationfrequency measurementlinearitymicrowave measurementsignal processing algorithms
spellingShingle Bent Walther
Andre Froehly
Thomas Musch
Marcel van Delden
High-Accuracy Linearity Measurement of Broadband Frequency Chirps
IEEE Open Journal of Instrumentation and Measurement
Chirp modulation
frequency measurement
linearity
microwave measurement
signal processing algorithms
title High-Accuracy Linearity Measurement of Broadband Frequency Chirps
title_full High-Accuracy Linearity Measurement of Broadband Frequency Chirps
title_fullStr High-Accuracy Linearity Measurement of Broadband Frequency Chirps
title_full_unstemmed High-Accuracy Linearity Measurement of Broadband Frequency Chirps
title_short High-Accuracy Linearity Measurement of Broadband Frequency Chirps
title_sort high accuracy linearity measurement of broadband frequency chirps
topic Chirp modulation
frequency measurement
linearity
microwave measurement
signal processing algorithms
url https://ieeexplore.ieee.org/document/10985815/
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AT thomasmusch highaccuracylinearitymeasurementofbroadbandfrequencychirps
AT marcelvandelden highaccuracylinearitymeasurementofbroadbandfrequencychirps