Ka-band high-altitude precipitation radar with ground measurements: Data processing and initial validations

Jakob Fusselman, Matthew Gilliam, Yan Zhang, Cameron Homeyer, William Blake

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Data processing, calibration, and quality evaluation are critical elements for successful airborne radar missions. For a downward-looking airborne radar, the usage of ground as a calibration target has been discussed before but not completely analyzed for precipitation measurement missions at Ka-band. In this study, the team performed data analysis and calibration modeling for the Millimeter-Wave Airborne Radar for Learning and Education (MARBLE), which was developed as a recent undergraduate team effort beginning in 2016. Millimeter-wave radar missions for MARBLE include precipitation measurement and terrain remote sensing through vertical profiling. To achieve these mission goals, the team used multiple time- and spectrum-domain processing methods on the ground return data collected from 2018 NASA ER-2 engineering calibration flights. Some of the algorithms include spectrum analysis with various CPI arrangement and multi-lag processing to enhance signal-to-noise ratio (SNR). Doppler calibration based on aircraft platform motion and orientation is also considered. Useful results are obtained from ground power calibration as well as Doppler estimation. In addition, multiple ground calibration tests with actual weather results are incorporated to supplement the airborne measurements after some hardware checking and improvement. Based on the reasonable outcomes from the calibration measurements, a new high-altitude flight campaign for precipitation measurement is being planned for 2020.

Original languageEnglish
Title of host publicationRadar Sensor Technology XXIV
EditorsKenneth I. Ranney, Ann M. Raynal
PublisherSPIE
ISBN (Electronic)9781510635937
DOIs
StatePublished - 2020
Externally publishedYes
EventRadar Sensor Technology XXIV 2020 - None, United States
Duration: Apr 27 2020May 8 2020

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11408
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceRadar Sensor Technology XXIV 2020
Country/TerritoryUnited States
CityNone
Period04/27/2005/8/20

Keywords

  • Airborne Weather Radar
  • Aviation
  • Data Quality
  • Radar Data Processing

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