A python3 tool to take a 360 degree survey of the RF spectrum (hamlib + rotctld + RTL-SDR/HackRF)

Related tags

Deep Learningspectrumpython3rtl-sdrhackrfrfrtlsdrrtl-sdr-donglehamlibsensinghackrf-onerotctld
Overview

RF Light House (rflh)

A python script to use a rotor and a SDR device (RTL-SDR or HackRF One) to measure the RF level around and get a data set and beautiful interactive graphics.

background noise measurement 145 Mhz

WARNING: This repository is new and under construction, you will see some [TODO] & "(work in progress...)" sections/docs yet.

Motivation

This project born from a friend's challenge to measure the background noise impact on my 70cm satellite band noise floor, from a new 2/3/4G cellular tower that my ISP is setting up 50m away from my antennas and with direct sight.

Soon I realized the true potential of it and it get bigger and feature rich quickly.

Features

At the end of the execution you get:

  • A cvs file in the data folder with the resulting data
  • A png image in the data folder with the rose plot

Both files are named as follows: YYYMMDD_HHMM_device_freqMHz_BWkHz_stepo with the matching .csv and .png extensions. The runtime text on the console name the files created for easy parsing (unless you select the 'quiet' option)

For example a real fast scan showing the references to the img & cvs file for parsing:

310(307.5);-102,16941998017171
320(317.5);-101,77656601734243
330(327.5);-101,55990296468812
340(337.5);-101,583492037594
350(347.5);-102,01302571365707
Scan took 0:53
CSVFile: data/20220108_1357_rtl_145.17MHz_300kHz_10o.csv
Parking the rotor in the background
Reattached kernel driver
Dynamc range: 2.9333941135273136 dB, 10%: 0.2933394113527314
Min: -104.78663648956817, Max -101.26656355333539
ImgFile: data/20220108_1357_rtl_145.17MHz_300kHz_10o.png

You can stop the generation of the cvs and the image files if not needed, take a peek on the options.

Also if you are on a GUI enviroment you can issue the '-i' or '--interactive' switch and at the end of the sweep a interactive matplotlib graph will popup.

For a more detailed technical stuff on the features see OPTIONS_EXPLAINED.md (work in progress...)

Installation

As any script in python you will need some dependencies, default dev env is Ubuntu Linux 20.04 LTS. I'm working/testing a single portable file for linux/windows/mac but it's not ready yet (pyinstall stuff)

The installation of the utilities & python modules are covered in the Install document.

At the end of the we have some examples / use cases at the end of the OPTIONS_EXPLAINED.md document.

Author, contributions, code & donations

The author is Pavel Milanes Costa (CO7WT), you can join the team contributing with code fix, improvements, bug reports, ideas, etc. Use te "Issues" tab for that.

This software is Free Software under GPLv3, see LICENCE; free as in freedom.

If you find this piece of soft usefull and want to support the author with a tip, hardware donation or just a change for a coffee please contact me at [email protected] for instructions.

For money tips you can use my QvaPay donation page, thanks in advance!

You might also like...
Aiming at the common training datsets split, spectrum preprocessing, wavelength select and calibration models algorithm involved in the spectral analysis process
Aiming at the common training datsets split, spectrum preprocessing, wavelength select and calibration models algorithm involved in the spectral analysis process

Aiming at the common training datsets split, spectrum preprocessing, wavelength select and calibration models algorithm involved in the spectral analysis process, a complete algorithm library is established, which is named opensa (openspectrum analysis).

Fu Pengyou 50 Jan 7, 2023
Lighting the Darkness in the Deep Learning Era: A Survey, An Online Platform, A New Dataset
Lighting the Darkness in the Deep Learning Era: A Survey, An Online Platform, A New Dataset

Lighting the Darkness in the Deep Learning Era: A Survey, An Online Platform, A New Dataset This repository provides a unified online platform, LoLi-P

Chongyi Li 457 Jan 3, 2023
Repository for the COLING 2020 paper "Explainable Automated Fact-Checking: A Survey."

Explainable Fact Checking: A Survey This repository and the accompanying webpage contain resources for the paper "Explainable Fact Checking: A Survey"

Neema Kotonya 42 Nov 17, 2022
Deep Learning for 3D Point Clouds: A Survey (IEEE TPAMI, 2020)
Deep Learning for 3D Point Clouds: A Survey (IEEE TPAMI, 2020)

🔥Deep Learning for 3D Point Clouds (IEEE TPAMI, 2020)

Qingyong 1.4k Jan 8, 2023
This is the accompanying toolbox for the paper "A Survey on GANs for Anomaly Detection"

Anomaly detection using GANs.

Zuru Tech 77 Nov 30, 2022
🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

Thinc: A refreshing functional take on deep learning, compatible with your favorite libraries From the makers of spaCy, Prodigy and FastAPI Thinc is a

Explosion 2.6k Dec 30, 2022
Let Python optimize the best stop loss and take profits for your TradingView strategy.

TradingView Machine Learning TradeView is a free and open source Trading View bot written in Python. It is designed to support all major exchanges. It

Robert Roman 473 Jan 9, 2023
Python project to take sound as input and output as RGB + Brightness values suitable for DMX

sound-to-light Python project to take sound as input and output as RGB + Brightness values suitable for DMX Current goals: Get one pixel working: Vary

Bobby Cox 1 Nov 17, 2021
In this project, two programs can help you take full agvantage of time on the model training with a remote server

In this project, two programs can help you take full agvantage of time on the model training with a remote server, which can push notification to your phone about the information during model training, like the model indices and unexpected interrupts. Then you can do something in time for your work.

GrayLee 8 Dec 27, 2022
Comments
  • Configure the rotctld options from a config file instead of in a script

    Configure the rotctld options from a config file instead of in a script

    Now you have to configure the rotor in a separated script file that you need to configure and test.

    I'm thinking on a rotor.ini file with some default configs the users can un-comment and adapt, and that the own python script rise and release the rotctld process in the background.

    enhancement 
    opened by stdevPavelmc 2
  • Portable APP?

    Portable APP?

    Yes a portable app will be cool...

    But there are some limitations on the drivers on the linux/mac side, and unknown results on Linux.

    I will try to come with a solution like this, but at the moment only source distribution is possible.

    enhancement WIP 
    opened by stdevPavelmc 1
Releases(v0.0.3-alpha)
Owner
Pavel Milanes (CO7WT)
FLOSS lover, Sysadmin, Amateur Radio Operator, FLOSS developer, etc.
Pavel Milanes (CO7WT)
GitHub Repository
Convolutional Neural Networks

Darknet Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation. D

Joseph Redmon 23.7k Jan 05, 2023
A best practice for tensorflow project template architecture.

A best practice for tensorflow project template architecture.

Mahmoud Gamal Salem 3.6k Dec 22, 2022
TorchCV: A PyTorch-Based Framework for Deep Learning in Computer Vision

TorchCV: A PyTorch-Based Framework for Deep Learning in Computer Vision @misc{you2019torchcv, author = {Ansheng You and Xiangtai Li and Zhen Zhu a

Donny You 2.2k Jan 06, 2023
Code of the paper "Deep Human Dynamics Prior" in ACM MM 2021.

Code of the paper "Deep Human Dynamics Prior" in ACM MM 2021. Figure 1: In the process of motion capture (mocap), some joints or even the whole human

Shinny cui 3 Oct 31, 2022
Composing methods for ML training efficiency

MosaicML Composer contains a library of methods, and ways to compose them together for more efficient ML training.

MosaicML 2.8k Jan 08, 2023
Unofficial pytorch-lightning implement of Mip-NeRF

mipnerf_pl Unofficial pytorch-lightning implement of Mip-NeRF, Here are some results generated by this repository (pre-trained models are provided bel

Jianxin Huang 159 Dec 23, 2022
pix2pix in tensorflow.js

pix2pix in tensorflow.js This repo is moved to https://github.com/yining1023/pix2pix_tensorflowjs_lite See a live demo here: https://yining1023.github

Yining Shi 47 Oct 04, 2022
This repository is an official implementation of the paper MOTR: End-to-End Multiple-Object Tracking with TRansformer.

MOTR: End-to-End Multiple-Object Tracking with TRansformer This repository is an official implementation of the paper MOTR: End-to-End Multiple-Object

348 Jan 07, 2023
Official code repository for Continual Learning In Environments With Polynomial Mixing Times

Official code for Continual Learning In Environments With Polynomial Mixing Times Continual Learning in Environments with Polynomial Mixing Times This

Sharath Raparthy 1 Dec 19, 2021
Explaining in Style: Training a GAN to explain a classifier in StyleSpace

Explaining in Style: Official TensorFlow Colab Explaining in Style: Training a GAN to explain a classifier in StyleSpace Oran Lang, Yossi Gandelsman,

Google 197 Nov 08, 2022
PyTorch implementation of SwAV (Swapping Assignments between Views)

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments This code provides a PyTorch implementation and pretrained models for SwAV

Meta Research 1.7k Jan 04, 2023
This demo showcase the use of onnxruntime-rs with a GPU on CUDA 11 to run Bert in a data pipeline with Rust.

Demo BERT ONNX pipeline written in rust This demo showcase the use of onnxruntime-rs with a GPU on CUDA 11 to run Bert in a data pipeline with Rust. R

Xavier Tao 14 Dec 17, 2022
A Simplied Framework of GAN Inversion

Framework of GAN Inversion Introcuction You can implement your own inversion idea using our repo. We offer a full range of tuning settings (in hparams

Kangneng Zhou 13 Sep 27, 2022
Progressive Growing of GANs for Improved Quality, Stability, and Variation

Progressive Growing of GANs for Improved Quality, Stability, and Variation — Official TensorFlow implementation of the ICLR 2018 paper Tero Karras (NV

Tero Karras 5.9k Jan 05, 2023
Code for CVPR2021 "Visualizing Adapted Knowledge in Domain Transfer". Visualization for domain adaptation. #explainable-ai

Visualizing Adapted Knowledge in Domain Transfer @inproceedings{hou2021visualizing, title={Visualizing Adapted Knowledge in Domain Transfer}, auth

Yunzhong Hou 80 Dec 25, 2022
BLEURT is a metric for Natural Language Generation based on transfer learning.

BLEURT: a Transfer Learning-Based Metric for Natural Language Generation BLEURT is an evaluation metric for Natural Language Generation. It takes a pa

Google Research 492 Jan 05, 2023
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

mani 1.2k Jan 07, 2023
Defending against Model Stealing via Verifying Embedded External Features

Defending against Model Stealing Attacks via Verifying Embedded External Features This is the official implementation of our paper Defending against M

20 Dec 30, 2022
Explainable Zero-Shot Topic Extraction

Zero-Shot Topic Extraction with Common-Sense Knowledge Graph This repository contains the code for reproducing the results reported in the paper "Expl

D2K Lab 56 Dec 14, 2022
SalFBNet: Learning Pseudo-Saliency Distribution via Feedback Convolutional Networks

SalFBNet This repository includes Pytorch implementation for the following paper: SalFBNet: Learning Pseudo-Saliency Distribution via Feedback Convolu

12 Aug 12, 2022