The openwifi repository provides a full-stack IEEE 802.11 (Wi-Fi) implementation for Software Defined Radio (SDR) hardware, specifically targeting Xilinx Zynq/ZynqMP SoCs with AD9361/AD9364 RF transceivers. It consists of a Linux kernel driver (split into multiple modules for OFDM, TX/RX interfaces, and side-channel processing) and user-space tools for hardware configuration, FPGA bitstream loading, and Wi-Fi interface management. The system supports standard Wi-Fi modes (AP, STA, ad-hoc, monitor) and experimental features like Channel State Information (CSI) extraction, packet injection/fuzzing, and radar sensing. The build system uses Buildroot to generate bootable SD card images, and the project includes extensive documentation for experimentation and hardware bring-up.
This repository implements a full 4G/5G telecommunications protocol stack (likely based on srsRAN) for software-defined radio applications. It provides implementations for User Equipment (UE), evolved Node B (eNB), gNB (next generation Node B), and Evolved Packet Core (EPC) network elements. The architecture follows a layered approach mirroring the telecommunications protocol stack (PHY, MAC, RLC, PDCP, RRC, NAS) with clear interfaces between layers. The system supports various SDR hardware platforms through a plugin-based radio frequency abstraction layer and can be used to build experimental 4G/5G networks for research and development. Key entry points include main.cc files in each application directory (srsenb, srsue, srsepc, srsgnb) and example applications in lib/examples/.
iNTERCEPT is a comprehensive web-based signal intelligence and RF monitoring platform built with Flask and a vanilla JavaScript frontend. It integrates over 20 distinct signal decoding modes (ADS‑B, AIS, ACARS, APRS, POCSAG/FLEX pager, SSTV, weather satellites, Bluetooth, WiFi, TSCM, drone detection, and more) into a single unified dashboard with real‑time streaming via SSE and WebSockets. The backend provides an SDR hardware abstraction layer (RTL‑SDR, HackRF, Airspy, LimeSDR, etc.) with device claiming, subprocess management, and a command‑builder pattern. The frontend features mode‑specific JavaScript modules with IIFE lifecycle methods, Leaflet map overlays, and reusable UI components (signal waveform, proximity radar, channel chart). While the primary character is an application, it also incorporates data‑research elements such as a bundled signal identification database, TLE‑based satellite pass prediction, and a heuristic signal‑guessing engine. The repository shows strong engineering with comprehensive test coverage, active maintenance, and several isolated reusable patterns like the SSE fanout system, DataStore cleanup manager, and validation utilities.
This is a full-stack, self-hosted satellite ground station, not a data-research repository, though it contains substantial orbital-data ingestion, telemetry parsing, and signal-processing components. The application connects software-defined radios (RTL-SDR, Airspy, UHD, SoapySDR, SDRplay) to a real-time web UI for satellite tracking, hardware control, IQ/waterfall visualization, demodulation, decoding, recording, and observation scheduling. The backend is Python with FastAPI/Socket.IO, SQLAlchemy/Alembic, multiprocessing workers, and pub/sub broadcaster components; the frontend is React/Redux Toolkit/Material-UI. The user-facing system manages rotators and rigs via Hamlib, propagates TLE/OMM orbital elements, predicts passes, applies Doppler correction, schedules automated observations, and exposes file browsing, telemetry analysis, and audio transcription through external AI providers.
This repository is a GNU Radio out-of-the-module (OOT) implementation of the LoRa physical layer. It provides a comprehensive set of signal processing blocks for transmitting and receiving LoRa signals, including channel coding (Hamming), interleaving, whitening, CRC, header processing, modulation, demodulation, and frame synchronization. The module is designed for use with GNU Radio 3.10+ and includes hierarchical blocks for quick assembly of transmitter and receiver flowgraphs in GNU Radio Companion or Python. It also features a simulation framework for performance evaluation (BER/FER vs SNR) and has been validated with USRP hardware and commercial LoRa transceivers. The code is modular, well-documented, and actively maintained, with recent updates adding support for lower spreading factors (SF 5-6) and improved soft-decision decoding.
Shadowbroker is a full-stack intelligence platform that aggregates real-time OSINT data from 60+ public sources into a geospatial dashboard with secure mesh networking capabilities. The architecture consists of a Next.js/React frontend with MapLibre GL visualization, a Python/FastAPI backend handling data fetching and mesh protocols, and a Tauri-based desktop application for local operation. Key features include aircraft/ship/satellite tracking, encrypted Wormhole messaging, InfoNet reputation/governance system, Agentic AI channel for automated analysis, OSINT reconnaissance tools, and time machine snapshot playback. The platform emphasizes security through SSRF protection, HMAC authentication, and privacy-preserving mesh communications while providing extensibility via toggleable data layers and plugin-like agent skills.
FISSURE is a modular RF signal-intelligence and reverse-engineering framework. In production it provides a PyQt5 dashboard for spectrum survey, IQ capture/playback, burst conditioning, signal classification, protocol discovery, targeted transmission, and fuzzing across SDR hardware such as USRP, HackRF, LimeSDR, RTL-SDR, PlutoSDR, and bladeRF. It coordinates distributed sensor nodes through a HIPRFISR hub over ZMQ, integrates with TAK via Cursor-on-Target messaging, and supports plugin-based automation operations. The repository also contains a very large GNU Radio flow graph library (maintained for GR 3.8 and 3.10), custom OOT blocks for ADS-B, Bluetooth, ACARS, X10, Z-Wave, fuzzing, and wideband detection, plus packet-crafting and replay tooling for security research.
This repository is an open-source hardware collection of RF front-end modules for low-cost RTL-SDR receivers, not a software application or data research pipeline. It is classified as application because its primary deliverable is a set of manufacturable PCB designs, schematics, and assembly documentation for discrete SDR building blocks. The repo contains complete design packages for an HF upconverter, multiple low-noise amplifiers with bias-tee powering, an SPDT antenna switch, a Mini-Whip active antenna, a balun, a PI attenuator, an RF power limiter, and fixed-voltage coax power supplies. Each module follows a consistent directory pattern: EasyEDA source files, Gerber exports, PDF schematics, component lists, datasheets, assembly guides, and enclosure model files. The RF signal flow runs from antenna through Mini-Whip, upconverter, filters, LNA, and protection stages into an RTL2832U-based SDR, with power injected over coax via bias-tee circuits. The real value of this repo is its modular, reproducible hardware architecture: well-documented bias-tee/power-over-coax designs, Mini-Circuits-based LNA and limiter circuits, and reusable RF layout techniques such as via stitching, ground pours, and controlled-impedance traces. The EasyEDA JSON files are tool-specific but self-contained and importable, and the Gerbers are ready for fabrication. Markdown guides cover component sourcing from LCSC, PCB ordering from JLCPCB/PCBWay, and Linux RTL-SDR setup, including known pitfalls like rtl_biast breakage after sudo make install. The project is explicitly described by the author as a final stable release with support ended, though recent commits in 2026 added new balun and RF power limiter designs, so the repository remains active. Limitations: this is hardware design data, not executable software, so there is no code to run, test, or integrate. The EasyEDA JSON format and .ftr filter design files are proprietary, some component choices (BF998, J310, ADE-1+, DF782, TC9-1+) are at risk of obsolescence, and the repository mixes EasyEDA editor versions from 2020 and 2026. For an engineer, the most reusable assets are the bias-tee power supply schematics, the balun and LNA reference designs, and the consistent module packaging pattern that makes each board a drop-in SDR building block.
This repository contains a C-based frequency scanner for Gqrx, a software-defined radio (SDR) application. The scanner controls Gqrx via its remote TCP protocol to perform sweep or bookmark-based scanning, with integrated voice activity detection (VAD) for distinguishing speech from noise. The system supports interactive controls (skip, ban, pause frequencies) and automatic recording of detected signals. The architecture is a standalone CLI executable built with CMake, featuring two scanning modes: adaptive sweep (fast, with fine-tuning) and bookmark-based (reading Gqrx's bookmarks CSV). VAD is implemented using a G.729B-style pitch-based algorithm with LPC analysis, running on Linux via PipeWire audio capture. The codebase includes a comprehensive test suite using cmocka, with mock socket infrastructure for simulating Gqrx responses. Notable strengths include self-contained VAD modules and a reusable mock Gqrx protocol implementation. However, the code exhibits heavy use of global variables, some known bugs (e.g., unsigned underflow in frequency saving), and platform-specific limitations (VOX and sweep tests are Linux-only).