Software-defined radio (SDR) is a radio communication system where components that conventionally have been implemented in analog hardware are instead implemented by means of software on a computer or embedded system.
25. Analog FPV Video Signals | PySDR: A Guide to SDR and DSP using Python
PySDR is a free online textbook (not a Python library!) that provides a gentle introduction to wireless communications and software-defined radio (SDR) using an abundance of diagrams, animations, and Python code examples.
Thank you to RTL-SDR.COM reader Ladislav for submitting information about the release of a new Android app by Alexsxxx called "SwR - Shortwave Radio". This is an Android-only app that lets users easily listen to KiwiSDR and Web-888 receivers. The app appears to be free, with no in-app purchases.
We are the developers of SDL, ask us anything!
496 votes, 257 comments. Hello! We are Sam Lantinga ( u/slouken ) and Ryan C. Gordon ( u/icculus ), developers of Simple Directmedia Layer (SDL). We…
jphastings/sdwire
CLI & Go package for controlling SDWireC/SDWire3 devices - USB-controlled SD card multiplexers for automated testing and development
Home
Ceptr is a platform for next-gen networking, providing a protocol for pluggable protocols, distributed data integrity on Holochains, and truly distributed application hosting
Semantics-Driven Development (SDD): A brief introduction
A method for building software: agree on the meaning first, write it as mathematics, and prove that the code obeys it.
How to Make a 2D Game in C++ and SDL3
Regional Internet Registry
A Regional Internet Registry (RIR) is a not-for-profit international organization that deals with the allocation of Internet Protocol (IP) address space (IPv4 and IPv6) and the Autonomous System numbers within a geographical region.
Smart Drone Neutralization: AI Driven RF Jamming and Modulation Detection with Software Defined Radio
The increasing use of wireless technologies in many aspects of people’s lives has led to a congested electromagnetic spectrum, making it critical to manage the limited available spectrum as efficiently as possible. This is particularly important for military activities such as electronic warfare, where jamming is used to disrupt enemy communication, self-attacking drones, and surveillance drones. However, current detection methods used by armed personnel, such as optical sensors and Radio Detection and Ranging (RADAR), do not include Radio Frequency (RF) analysis, which is crucial for identifying the signals used to operate drones. To combat security vulnerabilities posed by the rogue or unidentified transmitters, RF transmitters should be detected not only by the available data content of broadcasts but also by the physical properties of the transmitters. This requires faster fingerprinting and identifying procedures that extend beyond the traditional hand-engineered methods. In this paper, RF data from the drones’ remote controller is identified and collected using Software Defined Radio (SDR), a radio that employs software to perform signal-processing tasks that were previously accomplished by hardware. A deep learning model is then provided to train and detect modulation strategies utilized in drone communication and a suitable jamming strategy. This paper overviews Unmanned Aerial Vehicles (UAV) neutralization, communication signals, and Deep Learning (DL) applications. It introduces an intelligent system for modulation detection and drone jamming using Software Defined Radio (SDR). DL approaches in these areas, alongside advancements in UAV neutralization techniques, present promising research opportunities. The primary objective is to integrate recent research themes in UAV neutralization, communication signals, and Machine Learning (ML) and DL applications, delivering a more efficient and effective solution for identifying and neutralizing drones. The proposed intelligent system for modulation detection and jamming of drones based on SDR, along with deep learning approaches, holds great potential for future research in this field.
SDSI - A Simple Distributed Security Infrastructure
Andrew "bunnie" Huang Prepares the "dabao," a Dev Board for Baochip's "Mostly-Open" X1 RISC-V MCU
Built atop Vexriscv and PicoRV32, this 22nm microcontroller is "mostly open" to the RTL level — and a low-cost dev board is on the way.
DASL: MASL — Metadata for Arbitrary Structures & Links
MASL is a CBOR-based metadata system that is designed to work well with content-addressed and decentralised systems, to enable fully self-contained, self-certified content distribution.
Jamming and Spoofing Techniques for Drone Neutralization: An Experimental Study
This study explores the use of electronic countermeasures to disrupt communications systems in Unmanned Aerial Vehicles (UAVs), focusing on the protection of airspaces and critical infrastructures such as airports and power stations. The research aims to develop a low-cost, adaptable jamming device using Software Defined Radio (SDR) technology, targeting key UAV communication links, including geolocation, radio control, and video transmission. It applies jamming techniques that successfully disrupt UAV communications. GPS spoofing techniques were also implemented, with both static and dynamic spoofing tested to mislead the drones’ navigation systems. Dynamic spoofing, combined with no-fly zone enforcement, proved to be particularly effective in forcing drones to land or exhibit erratic behavior. The conclusions of this study highlight the effectiveness of these techniques in neutralizing unauthorized UAVs, while also identifying the need for future research in countering drones that operate on alternative frequencies, such as 4G/5G, to enhance the system’s robustness in evolving drone environments.
