https://github.com/mithaystack/mips

MIPS (MIT Incoherent Scatter Performance Simulator)
https://github.com/mithaystack/mips

geospace incoherent radar scatter simulator

Last synced: 8 days ago
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MIPS (MIT Incoherent Scatter Performance Simulator)

• Host: GitHub
• URL: https://github.com/mithaystack/mips
• Owner: MITHaystack
• License: other
• Created: 2022-08-15T19:42:56.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-03-03T21:22:05.000Z (almost 2 years ago)
• Last Synced: 2024-11-09T23:14:04.948Z (2 months ago)
• Topics: geospace, incoherent, radar, scatter, simulator
• Language: Python
• Homepage:
• Size: 20 MB
• Stars: 3
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.rst
  • Changelog: CHANGELOG.rst
  • Contributing: CONTRIBUTING.rst
  • License: LICENSE

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README

        
.. -*- mode: rst -*-

MIT Incoherent Scatter Performance Simulator (MIPS)

===================================================

MIPS is a tool for simulating the performance of incoherent scatter radar

systems and networks of such radars. MIPS is a physics

based radar performance model that incorporates first and second order effects

and measurement statistics. The model is parameterized and allows

straightforward optimization and design tradeoffs to be evaluated for IS radar

performance metrics (e.g. SNR, measurement speed, estimation errors, etc).

For incoherent scatter radar (IS radar) applications studying the near-Earth space

environment, the instrument design parameter space for a modern Geospace

Radar is very large. Particular areas of design freedom include transmitted

waveforms (e.g. required bandwidth, center frequency, duty cycle), array

configuration (e.g. element number and configuration), spatial diversity

(monostatic vs. locally bistatic), receiver sensitivity tradeoffs, and power-aperture

product choices (e.g. high power with few elements versus low power with many

elements).

Important Links

===============

:Official source code repo: https://github.com/MITHaystack/MIPS

:Issue tracker: https://github.com/MITHaystack/MIPS/issues

Citation

========

If you use MIPS in a scientific publication, we would appreciate a citation such as the following (BibTeX_):

P. J. Erickson, J. Vierinen, F. D. Lind and R. Volz, "The MIT Incoherent Scatter Performance Simulator (MIPS)," 2017 United States National Committee of URSI National Radio Science Meeting

(USNC-URSI NRSM), 2017, pp. 1-2, doi: 10.1109/USNC-URSI-NRSM.2017.7878319.

.. _BibTeX: bibtex.bib

Dependencies

============

The main package components are in the source directory and are divided into MIPS

related libraries and examples of using the simulator.

Build

-----

python

  * madrigalWeb

  * numpy

  * scipy

  * matplotlib

  * xarray

  * yamale

  * h5py

  * iri2016

  * ISRSpectrum>=3.2.2

  * h5netcdf

  * netcdf4

  * astropy

  * cartopy

Installation

============

Make sure the above libraries have been installed.

Create the Python distribution file:

python setup.py bdist_egg

Then install using pip:

pip install -e .

Example Usage

=============

A small set of Python examples can be found in the examples directory in the source tree.

MIPS usage can be somewhat complex due to the wide range of radar configurations,

ionospheric conditions, and subtleties related to coding and radar scattering

geometry.

cd examples

   * python mips_performance_sim.py

   * python mips_zenith_comparison.py

   * python mips_misa_mapping.py

   * python mips_esicat3d_mapping.py

It is recommended that you discuss applications of MIPS with the development team

prior to use in any publications.

Acknowledgments

===============

This work was supported by the National Science Foundation under the AGS Geospace

Facilities program. We are grateful for the support that made this development

possible.