Metadata-Version: 1.2
Name: tincanradar
Version: 0.1.1
Summary: Model and Build a $35 radar from coffee cans and MMICs
Home-page: https://github.com/scivision/tincanradar
Author: Michael Hirsch, Ph.D.
Author-email: UNKNOWN
License: UNKNOWN
Description-Content-Type: UNKNOWN
Description: .. image:: https://travis-ci.org/scivision/tincanradar.svg?branch=master
            :target: https://travis-ci.org/scivision/tincanradar
            
        .. image:: https://coveralls.io/repos/github/scivision/tincanradar/badge.svg?branch=master
            :target: https://coveralls.io/github/scivision/tincanradar?branch=master
        
        .. image:: https://api.codeclimate.com/v1/badges/c837e410c41e163d47bd/maintainability
           :target: https://codeclimate.com/github/scivision/tincanradar/maintainability
           :alt: Maintainability
        
        =============
        Tin Can Radar
        =============
        
        Utilities for designing, building, and using a $35 Tin Can Radar, from the original 2006 prototype
        designed and built by Michael Hirsch and advised by Greg Charvat.
        
        I include utilities for designing the Wilkenson power divider used to siphon off a sample
        of the transmit waveform for the homodyne receiver.
        
        I include design equations for using coffee cans for antennas,
        as well as the more broadband Linear Tapered Slot Antenna.
        
        If you need something more, start an issue or send a message.
        
        .. contents::
        
        
        ===========================     ==========================================================
        Function                            Description
        ===========================     ==========================================================
        FS2dBm.py                       Convert field strength in dBuV/m or uV/m to 50 ohm dBm
        ToneFinder.py                   Simulate noisy sinusoids from  target returns
        Friis.py                        Compute Free Space Path Loss (dB)
        ===========================     ==========================================================
        
        Forward Model
        =============
        A forward model of linear/non-linear FMCW chirp is provided in Python using an optional Fortran library for speed.
        
        
        Build
        =======
        
        * Mac: ``brew install gcc``
        * Linux: ``apt install gfortran``
        * Windows: install `gfortran <https://www.scivision.co/install-latest-gfortran-on-ubuntu/>`_
        
        
        
        Install
        -------
        ::
        
            pip install -e .
        
        
        Matlab
        ======
        Old scripts of some duplicity and perhaps not full correctness are in the matlab directory.
        
        Optional
        ========
        
        Fortran
        -------
        ::
        
            cd bin
            cmake ..
            make
        
        
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.6
