merbanan/rtl_433

Features

• Wireless Protocol Decoders - Translates raw radio transmissions from ISM bands into human-readable data using software defined radio hardware.
• Radio Signal Decoders - Translates raw radio transmissions from ISM bands into human-readable data using software-defined radio hardware.
• Hardware Abstraction Layers - Interfaces with varied radio hardware through a standardized layer to manage frequency tuning and gain settings.
• Hardware Interface Standardizations - Uses a standardized API to abstract hardware control across different software-defined radio brands.
• Pulse Demodulators - Converts raw radio samples into a sequence of timed pulses and gaps for protocol analysis.
• Frequency Tuning - Provides precise adjustment of receiver frequencies and gain to optimize the capture of radio signals.
• Radio Signal Analysis - Analyzes pulse timings and signal patterns to identify and decode unknown radio transmission protocols.
• Pulse Distribution Analysis - rtlsdr-decoder summarizes the duration of pulses, gaps, and periods to identify unknown transmission patterns.
• Signal Noise Filtering - Uses squelch and autolevel settings to remove background noise and isolate radio transmissions.
• Software Defined Radios - Connects and tunes software defined radio receivers to capture radio signals across various frequencies and bands.
• Protocol Analyzers - Analyzes pulse timings and signal distributions to identify and decode unknown radio transmission patterns.
• Radio - Translates decoded radio signals into JSON format for publication to MQTT brokers.
• Signal Pattern Matchers - Matches demodulated pulse sequences against a library of known device signatures to extract human-readable data.
• MQTT Connectors - Converts decoded signal data to JSON and sends it to an MQTT broker for system integration.
• Time-Series Data Forwarding - Relays decoded radio signals to time-series databases or monitoring systems for long-term storage and visualization.
• IQ Sample Captures - Records raw in-phase and quadrature radio samples from SDR hardware to storage for analysis.
• Pulse Timing Analysis - Summarizes the duration of pulses, gaps, and periods to identify unknown transmission patterns.
• Frequency Scanners - Implements a system to cycle through a list of frequencies to monitor multiple radio bands sequentially.
• Frequency Scanning and Monitoring - rtlsdr-decoder hops between a list of different radio frequencies at set intervals to monitor multiple bands.
• Wireless Signal Recorders - Captures raw radio samples to files for offline analysis, testing, and simulated playback.
• Signal Capture and Replay - Records raw radio samples and demodulated pulses to files for offline analysis and playback.
• Signal Replayers - Reads recorded data files to simulate radio receptions instead of listening to live airwaves.
• Wireless Sensor Monitors - Collects data from wireless sensors and exports it to MQTT brokers or databases for home automation.
• Radio Data Exporters - Routes decoded signal information to various external sinks like MQTT, JSON-RPC, or time-series databases.
• IQ Sample Replays - Feeds recorded raw I/Q signal data back through the decoding pipeline to simulate live radio receptions.
• Prometheus-Formatted HTTP Endpoints - Exposes decoded radio metrics via a Prometheus-formatted HTTP endpoint for remote observation.

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