Metadata-Version: 2.1
Name: pyargus
Version: 1.0.post4
Summary: Signal processing algorithms for antenna arrays
Home-page: https://github.com/petotamas/pyArgus
Author: Tamas Peto
Author-email: petotax@gmail.com
License: UNKNOWN
Description: # pyArgus
        
        This python package aims to implement signal processing algorithms applicable in antenna arrays. The implementation mainly focuses on the beamforming and
        direction finding algorithms.
        For array synthesis and radiation pattern optimization please check the "arraytool" python package.
        https://github.com/zinka/arraytool and https://zinka.wordpress.com/ by S. R. Zinka
        
        Named after Argus the giant from the greek mitology who had hundreds of eyes.
        
        ### Package organization:
        
        - pyArgus: Main package
        	- antennaArrayPattern: Implements the radiation pattern calculation of antenna arrays
        	- beamform: Implements beamformer algorithms.
        	- directionEstimation: Implements DOA estimation algorithms and method for estimating the spatial correlation matrix.
        - test: Sub package
        	contains demonstration functions for antenna pattern plot, beamforming and direction of arrival estimation. 
        
        ### Implemented Algorithms
        
        - Beamforiming:
            - Fixed beamformers:
                - Maximum Signal to Interference Ratio beamformer
                - Maximum Signal to Interference Ratio beamformer with Godara's method
            - Adaptive beamformer:
                - Optimum Wiener beamformer (with known signal of interest direction)
                - MSINR with known covariance matrices
                - MMSE with known signal of interest
        
        - Direction of Arrival Estimation:
            - DOA algorithms:
                - Bartlett (Fourier) method
                - Capon's method
                - Burg's Maximum Entropy Method (MEM)
                - Multiple Signal Classification (MUSIC)
                - Multi Dimension MUSIC (MD-MUSIC)
        
            - Util functions:
                - Spatial correlation matrix estimation using the sample average technique
                - Forward-backward averaging
                - Spatial smoothing
                - DOA results plot with highlighting the ambiguous regions (Only for Uniform linear arrays)
        
        ### Antenna Array Pattern Plot Features
        - Arbitrary configured planar antenna systems
        - Takes into account the pattern of the signal radiating elements
        
        The documentation of the package is written in Jupyter notebook, which can be found on the following sites:
        
        Github: [github.com/petotamas/pyArgus](https://github.com/petotamas/pyArgus)
        
        Personal website: [tamaspeto.com](https://www.tamaspeto.com/pyargus) 
        
        Tamás Pető 2016-2021, Hungary
        
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering
Description-Content-Type: text/markdown
