signal-monitor

Signal monitoring retrieves real-time RSSI, SNR, signal power, and S-meter readings from WaveCap-SDR channels via REST API endpoints. Use the extended metrics endpoint or the Python helper script with `--monitor` flag to fetch current or time-series metrics for immediate signal quality assessment.

RSSI measures received signal strength in dBm, SNR quantifies signal-to-noise ratio, and S-units represent signal strength on a standardized scale. Together they provide a complete picture of reception quality—RSSI and SNR indicate signal presence and clarity, while S-units offer a quick visual gauge comparable across different radio systems.

Yes, historical monitoring captures time-series metrics at configurable intervals and durations. The Python helper accepts `--interval` and `--duration` parameters to print metrics over time, letting you observe signal trends, detect fading patterns, and diagnose reception issues.

Fetch extended metrics to inspect RSSI, SNR, squelch state, and capture state for the channel. Low RSSI or SNR indicates weak reception; squelch and capture state show whether the receiver is actively detecting signals. Compare metrics across antennas or time periods to isolate the problem.

Signal monitoring requires WaveCap-SDR with REST API endpoints for extended metrics and spectrum snapshots. Access the metrics via curl HTTP requests to the `/api/v1/channels/{channel}/metrics/extended` endpoint or run the included Python helper with PYTHONPATH pointing to the backend directory.

Squelch state indicates whether the receiver's squelch gate is open (signal above threshold), while capture state shows whether the channel is actively recording or processing data. Both help confirm the receiver is functioning and locked onto the signal before deeper analysis.