UAV-Based Far-Field Antenna Pattern Measurement Method for Polarimetric Weather Radars: Simulation and Error Analysis

Umeyama, Arturo Yoshiyuki; Salazar-Cerreno, Jorge L.; Fulton, Caleb J.

doi:10.1109/ACCESS.2020.3027790

i

UAV-Based Far-Field Antenna Pattern Measurement Method for Polarimetric Weather Radars: Simulation and Error Analysis

2020
By Umeyama, Arturo Yoshiyuki ; Salazar-Cerreno, Jorge L. ; Fulton, Caleb J.

Details

Journal Title:

IEEE Access
Personal Author:

Umeyama, Arturo Yoshiyuki ; Salazar-Cerreno, Jorge L. ; Fulton, Caleb J.
NOAA Program & Office:

CIMMS (Cooperative Institute for Mesoscale Meteorological Studies) ; OAR (Oceanic and Atmospheric Research) ; NSSL (National Severe Storms Laboratory)
Description:

Continuing advances and the availability of relatively inexpensive commercial off-the-shelf UAV systems allow the development of in-situ antenna measurement systems for a wide variety of operating frequencies and applications. This paper presents a simulation framework and error analysis that provides a guideline for in-situ far-field (FF) unmanned aerial vehicle (UAV)-based antenna measurements of operational and research antennas for polarimetric weather radar systems. The analysis includes system design trade-offs which allow the evaluation of antenna measurement errors due to UAV position, gimbal orientation, and extraneous error sources that can be present in a UAV-based field-testing scenario. Results analyzed for all cases provide error bounds and limitations for two example characterization schemes. The UAV-based antenna measurement system simulation and analysis suggests and supports the feasibility of such a system for antenna characterization and polarimetric calibration of antennas in the near future.
Keywords:

Antenna Measurements Antenna Radiation Patterns Measurement Uncertainty Meteorological Radar Probes Radar Antennas Antenna Measurements Antenna Radiation Patterns Measurement Uncertainty Meteorological Radar Radar Antennas
Source:

IEEE Access, Vol. 8, 191124-191137
DOI:

https://doi.org/10.1109/ACCESS.2020.3027790
Document Type:

Journal Article
Rights Information:

CC BY
Compliance:

Submitted
Main Document Checksum:

urn:sha256:d1733b26a0d10e10ffb1f8d048ddeafe87fce494e5c4534722f2fcc59bd8dc41
Download URL:

https://repository.library.noaa.gov/view/noaa/31715/noaa_31715_DS1.pdf
File Type:

[PDF - 1.24 MB ]

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