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
InsTrim: Lightweight Instrumentation for Coverage-guided Fuzzing

InsTrim The paper: InsTrim: Lightweight Instrumentation for Coverage-guided Fuzzing Build Prerequisite llvm-8.0-dev clang-8.0 cmake = 3.2 Make git cl

75 Dec 23, 2022
PyTorch wrapper for Taichi data-oriented class

Stannum PyTorch wrapper for Taichi data-oriented class PRs are welcomed, please see TODOs. Usage from stannum import Tin import torch data_oriented =

86 Dec 23, 2022
Efficient 6-DoF Grasp Generation in Cluttered Scenes

Contact-GraspNet Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes Martin Sundermeyer, Arsalan Mousavian, Rudolph Triebel, Dieter

NVIDIA Research Projects 148 Dec 28, 2022
Sample Prior Guided Robust Model Learning to Suppress Noisy Labels

PGDF This repo is the official implementation of our paper "Sample Prior Guided Robust Model Learning to Suppress Noisy Labels ". Citation If you use

CVSM Group - email: <a href=[email protected]"> 22 Dec 23, 2022
Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration

This repo is for the paper: Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration The DAC environment is based on the Dynam

Carola Doerr 1 Aug 19, 2022
A Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!

CoVA: Context-aware Visual Attention for Webpage Information Extraction Abstract Webpage information extraction (WIE) is an important step to create k

Keval Morabia 41 Jan 01, 2023
A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."

EfficientNet A PyTorch implementation of EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks. [arxiv] [Official TF Repo] Implemen

AhnDW 298 Dec 10, 2022
YoHa - A practical hand tracking engine.

YoHa - A practical hand tracking engine.

2k Jan 06, 2023
Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.

Translated in 🇰🇷 Korean/ Ludwig is a toolbox that allows users to train and test deep learning models without the need to write code. It is built on

Ludwig 8.7k Dec 31, 2022
Traditional deepdream with VQGAN+CLIP and optical flow. Ready to use in Google Colab

VQGAN-CLIP-Video cat.mp4 policeman.mp4 schoolboy.mp4 forsenBOG.mp4

23 Oct 26, 2022
Parametric Contrastive Learning (ICCV2021)

Parametric-Contrastive-Learning This repository contains the implementation code for ICCV2021 paper: Parametric Contrastive Learning (https://arxiv.or

DV Lab 156 Dec 21, 2022
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)

SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021) PyTorch implementation of SnapMix | paper Method Overview Cite

DavidHuang 126 Dec 30, 2022
《A-CNN: Annularly Convolutional Neural Networks on Point Clouds》(2019)

A-CNN: Annularly Convolutional Neural Networks on Point Clouds Created by Artem Komarichev, Zichun Zhong, Jing Hua from Department of Computer Science

Artёm Komarichev 44 Feb 24, 2022
Reimplement of SimSwap training code

SimSwap-train Reimplement of SimSwap training code Instructions 1.Environment Preparation （1）Refer to the README document of SIMSWAP to configure the

seeprettyface.com 111 Dec 31, 2022
Accelerated SMPL operation, commonly used in generate 3D human mesh, STAR included.

SMPL2 An enchanced and accelerated SMPL operation which commonly used in 3D human mesh generation. It takes a poses, shapes, cam_trans as inputs, outp

JinTian 20 Oct 17, 2022
GRF: Learning a General Radiance Field for 3D Representation and Rendering

GRF: Learning a General Radiance Field for 3D Representation and Rendering [Paper] [Video] GRF: Learning a General Radiance Field for 3D Representatio

Alex Trevithick 243 Dec 29, 2022
Caffe: a fast open framework for deep learning.

Caffe Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR)/The Berke

Berkeley Vision and Learning Center 33k Dec 28, 2022
SegNet-like Autoencoders in TensorFlow

SegNet SegNet is a TensorFlow implementation of the segmentation network proposed by Kendall et al., with cool features like strided deconvolution, a

Andrea Azzini 66 Nov 05, 2021
End-to-End Referring Video Object Segmentation with Multimodal Transformers

End-to-End Referring Video Object Segmentation with Multimodal Transformers This repo contains the official implementation of the paper: End-to-End Re

608 Dec 30, 2022
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19

2s-AGCN Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19 Note PyTorch version should be 0.3! For PyTor

LShi 547 Dec 26, 2022