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编程语言及工具
此python包旨在实现适用于天线阵列的信号处理算法。主要实现了波束形成和测向算法。
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: Contains demonstration functions for antenna pattern plot, beamforming and direction of arrival estimation.
docs: Documentation of the package, written in Jupyter notebook.
Implemented Algorithms
Beamforiming:
Optimum Wiener beamformer (with known signal of interest direction)
MSINR with known covariance matrices
MMSE with known signal of interest
Maximum Signal to Interference Ratio beamformer
Maximum Signal to Interference Ratio beamformer with Godara's method
Fixed beamformers:
Adaptive beamformer:
Direction of Arrival Estimation:
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)
Bartlett (Fourier) method
Capon's method
Burg's Maximum Entropy Method (MEM)
Multiple Signal Classification (MUSIC)
Multi Dimension MUSIC (MD-MUSIC)
DOA algorithms:
Util functions:
Antenna Array Pattern Plot Features
Arbitrary configured planar antenna systems
Takes into account the pattern of the signal radiating elements
Install from the Python Package Index
pip install pyargus
Personal website: tamaspeto.com
Tamás Pető 2016-2021, Hungary
编辑:黄飞
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