phase-sensitive-radar-processing

For storing, creating, and modifying code to process (A)pRES data

To do (2021-10-29)

1. Look through three fmcw code packages and choose which one to use as our base (likely ApRES_Utils_Nicholls_250221, with some input from Matlab_fmcw_2018_case_update)
2. Decide on a protocol for updating, branching, & merging code, as well as keeping track of updates (e.g. through built-in Github projects tab)
3. Create file structure

Changelog

2021-10-29

(EHC) Updated four folders of fmcw processing code

1. ApRES_Python_Nicholls_2021 - plots ApRES data in python, from Keith Nicholls in March 2021
2. ApRES_Utils_Nicholls_250221 - fmcw code from Keith Nicholls in March 2021
3. Matlab_fmcwSuite2018 - fmcw code from Pierre Dutrieux from 2018
4. Matlab_fmcw_2018_case_update - updated version of (3) by Case in 2019, mostly in regards to expanded plotting properties and some processing of the Juneau Icefield 2018 data

References

1. Brennan PV, Lok LB, Nicholls K and Corr H (2014) Phase-sensitive FMCW radar system for high-precision Antarctic ice shelf profile monitoring. Sonar Navigation IET Radar 8(7), 776–786. doi:10.1049/iet-rsn.2013.0053.
2. Lok LB, Brennan PV, Nicholls KW and Corr HFJ (2014) ApRES : autonomous phase-sensitive FMCW radar, for basal monitoring and imaging of Antarctic ice shelves - ProQuest. doi:10.1049/ic.2014.0019.
3. Nicholls KW, Corr HFJ, Stewart CL, Lok LB, Brennan PV and Vaughan DG (2015) A ground-based radar for measuring vertical strain rates and time-varying basal melt rates in ice sheets and shelves. Journal of Glaciology 61(230), 1079–1087. doi:10.3189/2015JoG15J073.
4. Vaňková I, Nicholls KW, Xie S, Parizek BR, Voytenko D and Holland DM (2020) Depth-dependent artifacts resulting from ApRES signal clipping. Annals of Glaciology 61(81), 108–113. doi:10/gnsfn3.