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
This application is the basic of automated online-class-joiner(for YıldızEdu) within the right time. Gets the ZOOM link by scheduled date and time.

This application is the basic of automated online-class-joiner(for YıldızEdu) within the right time. Gets the ZOOM link by scheduled date and time.

215355 1 Dec 16, 2021
Code for "Diffusion is All You Need for Learning on Surfaces"

Source code for "Diffusion is All You Need for Learning on Surfaces", by Nicholas Sharp Souhaib Attaiki Keenan Crane Maks Ovsjanikov NOTE: the linked

Nick Sharp 247 Dec 28, 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
Code for "OctField: Hierarchical Implicit Functions for 3D Modeling (NeurIPS 2021)"

OctField(Jittor): Hierarchical Implicit Functions for 3D Modeling Introduction This repository is code release for OctField: Hierarchical Implicit Fun

55 Dec 08, 2022
Codebase for the Summary Loop paper at ACL2020

Summary Loop This repository contains the code for ACL2020 paper: The Summary Loop: Learning to Write Abstractive Summaries Without Examples. Training

Canny Lab @ The University of California, Berkeley 44 Nov 04, 2022
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples

Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples This repository is the official implementation of paper [Qimera: Data-free Q

Kanghyun Choi 21 Nov 03, 2022
Torch-based tool for quantizing high-dimensional vectors using additive codebooks

Trainable multi-codebook quantization This repository implements a utility for use with PyTorch, and ideally GPUs, for training an efficient quantizer

Daniel Povey 41 Jan 07, 2023
Vehicle Detection Using Deep Learning and YOLO Algorithm

VehicleDetection Vehicle Detection Using Deep Learning and YOLO Algorithm Dataset take or find vehicle images for create a special dataset for fine-tu

Maryam Boneh 96 Jan 05, 2023
SMD-Nets: Stereo Mixture Density Networks

SMD-Nets: Stereo Mixture Density Networks This repository contains a Pytorch implementation of "SMD-Nets: Stereo Mixture Density Networks" (CVPR 2021)

Fabio Tosi 115 Dec 26, 2022
Official PyTorch Implementation of Rank & Sort Loss [ICCV2021]

Rank & Sort Loss for Object Detection and Instance Segmentation The official implementation of Rank & Sort Loss. Our implementation is based on mmdete

Kemal Oksuz 229 Dec 20, 2022
A collection of SOTA Image Classification Models in PyTorch

A collection of SOTA Image Classification Models in PyTorch

sithu3 85 Dec 30, 2022
Red Team tool for exfiltrating files from a target's Google Drive that you have access to, via Google's API.

GD-Thief Red Team tool for exfiltrating files from a target's Google Drive that you(the attacker) has access to, via the Google Drive API. This includ

Antonio Piazza 39 Dec 27, 2022
Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021) An efficient PyTorch library for Point Cloud Completion.

Microsoft 119 Jan 02, 2023
An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data

GLOM TensorFlow This Python package attempts to implement GLOM in TensorFlow, which allows advances made by several different groups transformers, neu

Rishit Dagli 32 Feb 21, 2022
A PyTorch implementation of Implicit Q-Learning

IQL-PyTorch This repository houses a minimal PyTorch implementation of Implicit Q-Learning (IQL), an offline reinforcement learning algorithm, along w

Garrett Thomas 30 Dec 12, 2022
MoveNet Single Pose on DepthAI

MoveNet Single Pose tracking on DepthAI Running Google MoveNet Single Pose models on DepthAI hardware (OAK-1, OAK-D,...). A convolutional neural netwo

64 Dec 29, 2022
Benchmark for evaluating open-ended generation

OpenMEVA Contributed by Jian Guan, Zhexin Zhang. Thank Jiaxin Wen for DeBugging. OpenMEVA is a benchmark for evaluating open-ended story generation me

25 Nov 15, 2022
The Pytorch code of "Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification", CVPR 2022 (Oral).

DeepBDC for few-shot learning        Introduction In this repo, we provide the implementation of the following paper: "Joint Distribution Matters: Dee

FeiLong 116 Dec 19, 2022
EMNLP 2020 - Summarizing Text on Any Aspects

Summarizing Text on Any Aspects This repo contains preliminary code of the following paper: Summarizing Text on Any Aspects: A Knowledge-Informed Weak

Bowen Tan 35 Nov 14, 2022
Distributed DataLoader For Pytorch Based On Ray

Dpex——用户无感知分布式数据预处理组件 一、前言 随着GPU与CPU的算力差距越来越大以及模型训练时的预处理Pipeline变得越来越复杂，CPU部分的数据预处理已经逐渐成为了模型训练的瓶颈所在，这导致单机的GPU配置的提升并不能带来期望的线性加速。预处理性能瓶颈的本质在于每个GPU能够使用的C

Dalong 23 Nov 02, 2022