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Advanced Techniques In Clutter Mitigation And Calibration For Weather Radars. / Yin, Jiapeng.

2019. 143 p.

Research output: ThesisDissertation (TU Delft)Scientific

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@phdthesis{b70159a0bc3048898421ba965885bcab,
title = "Advanced Techniques In Clutter Mitigation And Calibration For Weather Radars",
abstract = "Weather observation is becoming more important than ever because extreme weather, such as tropical cyclones, thunderstorms and heavy rain, is more common nowadays. To observe and forecast the atmospheric phenomena at high spatial and temporal resolution, weather radar is well recognized as an effective tool. The prerequisite of using weather radar data is sufficient measurement accuracy. The focus of this thesis is to propose advanced techniques in clutter mitigation and calibration for weather radars to improve radar measurement accuracy. On the one hand, clutter mitigation techniques for signal-polarization, dual-polarization without cross-polar measurements and full-polarimetric radar systems are proposed to mitigate different types of clutter. On the other hand, a novel radar calibration technique is developed. With clutter suppression and techniques, clean and correct weather radar measurements are expected to be obtained.",
keywords = "weather radar, radar polarimetry, spectral polarimetry, clutter mitigation, radar calibration",
author = "Jiapeng Yin",
year = "2019",
doi = "10.4233/uuid:b70159a0-bc30-4889-8421-ba965885bcab",
language = "English",
isbn = "978-94-6380-365-6",
school = "Delft University of Technology",

}

RIS

TY - THES

T1 - Advanced Techniques In Clutter Mitigation And Calibration For Weather Radars

AU - Yin, Jiapeng

PY - 2019

Y1 - 2019

N2 - Weather observation is becoming more important than ever because extreme weather, such as tropical cyclones, thunderstorms and heavy rain, is more common nowadays. To observe and forecast the atmospheric phenomena at high spatial and temporal resolution, weather radar is well recognized as an effective tool. The prerequisite of using weather radar data is sufficient measurement accuracy. The focus of this thesis is to propose advanced techniques in clutter mitigation and calibration for weather radars to improve radar measurement accuracy. On the one hand, clutter mitigation techniques for signal-polarization, dual-polarization without cross-polar measurements and full-polarimetric radar systems are proposed to mitigate different types of clutter. On the other hand, a novel radar calibration technique is developed. With clutter suppression and techniques, clean and correct weather radar measurements are expected to be obtained.

AB - Weather observation is becoming more important than ever because extreme weather, such as tropical cyclones, thunderstorms and heavy rain, is more common nowadays. To observe and forecast the atmospheric phenomena at high spatial and temporal resolution, weather radar is well recognized as an effective tool. The prerequisite of using weather radar data is sufficient measurement accuracy. The focus of this thesis is to propose advanced techniques in clutter mitigation and calibration for weather radars to improve radar measurement accuracy. On the one hand, clutter mitigation techniques for signal-polarization, dual-polarization without cross-polar measurements and full-polarimetric radar systems are proposed to mitigate different types of clutter. On the other hand, a novel radar calibration technique is developed. With clutter suppression and techniques, clean and correct weather radar measurements are expected to be obtained.

KW - weather radar

KW - radar polarimetry

KW - spectral polarimetry

KW - clutter mitigation

KW - radar calibration

U2 - 10.4233/uuid:b70159a0-bc30-4889-8421-ba965885bcab

DO - 10.4233/uuid:b70159a0-bc30-4889-8421-ba965885bcab

M3 - Dissertation (TU Delft)

SN - 978-94-6380-365-6

ER -

ID: 53540979