ArrayDesignOpt

Python files developed to simulate 2D random array patterns, and transform regular uniform arrays to pseudo random through side lobe minimization.
Similar to the LWA (long wavelength array) stations, the stations for the IGP JARGUS Project were designed using the Leonid Kogan's algorithm.


This library is still in development and testing :) ...

Instalation

Requierement libraries:

• numpy v1.19.5
• matplotlib v3.6.0
• shapely
• IPython
• scipy -------------------------------------------------------
  git clone https://github.com/joabAM/arrayDesignOpt.git
  or git clone -b main http://intranet.igp.gob.pe:8082/arrayDesignOpt
  cd arrayDesignOpt
  python setup.py bdist_wheel
  pip install /path/to../dist/arrayDesignOpt-0.1-py3-none-any.whl --force-reinstall (optional)
  

Usage

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Simple script
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from arrayDesignOpt import main
arr = main.AntennaArray(N=64)
norm_pattern, _domg, _cosxy, _radmin, _pat_int = arr.getPattern()
SLLdB, XBest, YBest, BeamOpt, Xlast1, Ylast1 = arr.minimizeSLL( _radmin,gain=10, plotPattern=True)