CReSIS Signal and Data Processing Group

CReSIS Signal and Data Processing Group 2018 (missing Jilu Li and Manjish Adhikari).

Currently all graduate research assistant positions are filled.

Faculty and Staff:

Nichols Hall, Room 325
2335 Irving Hill Rd
Lawrence, KS 66045
785-864-1692

Nichols Hall, Room 326
2335 Irving Hill Rd
Lawrence, KS 66045
785-864-1692

Students:

Previous Students:

CReSIS Signal and Data Processing Group 2017.

Projects

• CReSIS Radar Data Processing Pipeline: We have collected about 1 PB of data as of 2016 and are adding about 100 TB per year. There are four radar sensors, each configurable and being updated periodically. The code is primarily written in Matlab and C. The pipeline is driven by parameter spreadsheets that allow large batches of jobs to be scheduled in a single shot. We use a custom Torque Scheduler interface on three clusters (128 core, 1840 core, and remote-field-configurable cluster 32-96 core) for most of the processing. The system includes support for stepped-chirped, deramp on receive, and regular directly sampled radars. The pipeline includes GPS alignment, metadata tracking, pulse compression, deconvolution, RFI suppression, SAR processing, and space-time array processing.
  We are using and developing this toolbox and data in collaboration with:
  • Alfred Wegener Institute
  • University of Washington Applied Physics Laboratory
  • Stanford University Radio Glaciology
  • Indiana University at Bloomington and SPIDAL
  • University of Columbia Lamont-Doherty Earth Observatory,
  • University of Copenhagen Center for Ice and Climate
  • Texas A&M University-Corpus Christi
  Links to use data and software:
  • Toolbox: CReSIS Software
  • Radar Data: CReSIS Data Website
• Field work and data processing for NSF-NERC projects Thwaites MELT and GHOST and NASA Operation IceBridge Multichannel Coherent Radar Depth Sounder (MCoRDS), Snow Radar, Ku-band Altimeter, and Accumulation Radar on a variety of aircraft including CReSIS built UAVs as well as some ground based radar work.
• SAR Active Target and Multistatic Receiver for ultra wideband radar system: to be used for array and radiometric calibration and as portable radar system.
• Tomography/interferometry/3D imaging
  • We have three projects, SPIDAL, Operation IceBridge, and Stability and Dynamics of Antarctic Marine Outlet Glaciers, working on 3D imaging.
  • SPIDAL REU 2015: Sean Holloway Poster on 1D/2D simulator for 3D tomography
  • SPIDAL REU 2016: Jordan Sprick Poster adding ground truth for machine learning and geocoding results for 3D tomography
  • SPIDAL REU 2017: Shane Chu Poster on tuning hyperparameters for Viterbi and TRW-S algorithms
  • SPIDAL REU 2018: Anjali Pare Poster on tuning hyperparameters for the Levelset algorithm. Also worked on 2D layer viewing.
  • SPIDAL REU 2019: TBD on integration of CReSIS processing pipeline with Indiana University's TWISTER2 HPC development environment.
• Ice sheet basal conditions (studying properties of radar scattering signal). Project is complete.
  • NASA New Investigator Project.
• Global Hawk Snow Thickness Estimation Radar/Multchannel Snow Radar
  • This is a project to develop a 2-18 GHz FMCW radar for the NASA Global Hawk UAVs. Project is complete.
• Geographic information system for CReSIS radar data
  • Actively working on the Open Polar Server which is an open source system for storing sounding radar data that is hosted on Github.
• Internal layer SAR processor
  • We are working on this as part of SPIDAL.
• Ice sheet dielectrics and geophysical parameters (interest in CMP measurements and other methods for recovering geophysical properties of the ice)
  • We are collaborating with several external groups on this work.
• Ku-band altimetry and interpretation of satellite altimeter data
  • We are working on a proposal to continue previous work on this.
• Thickness and other properties of snow on sea and land ice
  • We are working on this as part of NASA Operation IceBridge