First Delay Doppler Maps obtained with the Microwave Inteferometric Reflectometer (MIR)

January 1, 2016·
D. Pascual
,
R. Onrubia
,
Jorge Querol
,
A. Alonso-Arroyo
,
H. Park
,
A. Camps
· 1 min read
DOI
Abstract
This work presents the first Delay Doppler Maps (DDMs) obtained with the Microwave Interferometric Reflectometer (MIR) airborne instrument. MIR is a GNSS Reflectometer (GNSS-R) which uses the conventional (cGNSS-R) and interferometric (iGNSS-R) techniques for ocean and land observation. It computes real-time sample-to-sample complex DDMs with averaging and alignment, of up to 4 simultaneous GPS/Galileo satellites at the L1/E1, and L5/E5a bands. Satellites are tracked with high directivity antennas with beam steering. The MIR instrument is designed to validate and compare both GNSS-R techniques with the new available signals, with special focus in the GEROS-ISS payload, and to contribute to the development of geophysical retrieval algorithms.
Type
Publication
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
publication

Abstract & Overview

This work presents the first Delay Doppler Maps (DDMs) obtained with the Microwave Interferometric Reflectometer (MIR) airborne instrument. MIR is a GNSS Reflectometer (GNSS-R) which uses the conventional (cGNSS-R) and interferometric (iGNSS-R) techniques for ocean and land observation. It computes real-time sample-to-sample complex DDMs with averaging and alignment, of up to 4 simultaneous GPS/Galileo satellites at the L1/E1, and L5/E5a bands. Satellites are tracked with high directivity antennas with beam steering. The MIR instrument is designed to validate and compare both GNSS-R techniques with the new available signals, with special focus in the GEROS-ISS payload, and to contribute to the development of geophysical retrieval algorithms.


Publication Metadata

  • Authors: D. Pascual, R. Onrubia, Jorge Querol, A. Alonso-Arroyo, H. Park, A. Camps
  • Venue: 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (2016)
  • Research Areas: GNSS & Positioning, AI & Neuromorphic SatCom
  • DOI: 10.1109/igarss.2016.7729514