Back to RTG Spectrum

Platform Overview

Collectors, shared events, Pattern-of-Life, and operator decisions.

RTG Spectrum turns RF and wireless observations into a source-aware event plane: collect, normalize, correlate, establish baseline, detect change or anomaly, and support operator decisions.

60-second architecture

Specialized modules feed Trace Analyzer as the shared event plane.

Each module keeps its purpose and evidence type, but the output is made reviewable in a common timeline. That is the difference between a set of demos and a platform.

Collection and application modules

SDR-Shark

Spectrum collection, IQ replay, FFT, waterfall, scanner workflows, signal activity, and RF/ML hooks.

RF Sentinel

Multi-protocol RF detections, entity tracking, WiFi topology, strong Bluetooth Classic, BLE, Zigbee, and WiFi workflows, plus experimental FM and sub-GHz paths.

AirScope

HaLow and WiFi observations, AP/station topology, survey state, Pattern-of-Life indicators, and report exports.

Cellular Survey

Fast cellular state snapshots, broad LTE/5G inventory, high-rate live signal measurements, coverage-map context, and shared event outputs.

PASSIVE-SHIELD

Defense prototype cues, passive DJI/OcuSync-family RF evidence, acoustic corroboration, station state, and operator map context.

Module outputs become timestamped, source-aware events

Trace Analyzer

Unified timeline and Pattern-of-Life layer for BLE, GPS, WiFi, RF, spectrum, cellular survey, and mission events.

Correlate events, classify RF activity, map observations, establish baseline, detect change, support decisions

What moves between modules

Events, not screenshots, are the platform interface.

The important boundary is the event model: source, timestamp, protocol, identity, signal, location or context where available, and raw detail for review. This lets a reviewer compare a WiFi AP, BLE observation, cellular survey record, spectrum event, passive drone-signal cue, and operator status without flattening away where the evidence came from.

Trace Analyzer unified timeline showing source-aware RF wireless GPS and mission events

Buyer outcomes

What the platform helps teams do.

Reduce manual RF triage

Put detections, entities, health, topology, and raw detail into interfaces a reviewer can inspect quickly.

Establish baselines

Track recurring infrastructure, normal timing, known devices, channel use, and survey-to-survey behavior.

Detect change

Surface new, missing, recurring, anomalous, or mission-relevant activity with source context attached.

Correlate sensors

Review WiFi, BLE, cellular, RF, GPS, spectrum, and prototype mission cues together instead of in isolated dashboards.

Map observations

Use route-tagged measurements, coverage context, and uncertainty-aware source estimates to guide follow-on collection.

Produce evidence

Create screenshots, exports, reports, and claim-boundary notes that support engineering, prototype, or partner reviews.

Transition faster

Use Dockerized demos, replay data, health/status views, and repeatable workflows to move prototypes toward field testing.

Commercial Paths

Use the platform as delivery leverage, not a generic software pitch.

RF Assessment

Baseline a site or RF environment and produce reviewable evidence around recurring entities, topology, and changes.

Request Assessment

Sensor Integration

Integrate customer hardware or data sources into normalized events, Trace Analyzer, dashboards, and reports.

Start Integration

Prototype / Pilot

Build a bounded SDR or RF sensing prototype with replay data, operator UI, and technical findings.

Discuss Prototype

Public-safe R&D roadmap

The same platform can showcase SBIR-aligned defense technology without exposing proposal-sensitive details.

Current internal R&D is aimed at defense-relevant demonstrations that build on this shared event plane: parallel sensor fusion, mission debrief and replanning, modular reference-bus integration, counter-swarm analytics, geospatial RF evidence, and operator decision support. Public versions should stay synthetic or sanitized, show measured behavior, and keep claim boundaries visible.

Fusion Demo

Known truth, route-tagged observations, estimated source area, uncertainty, and a recommended second collection route.

Debrief Demo

Replay a completed mission, reconstruct the timeline, fuse status sources, extract findings, and recommend follow-on collection.

Reference Bus Demo

Show a new module joining the event plane without rewriting existing collectors or dashboards.

Swarm Analytics Demo

Use PASSIVE-SHIELD replay evidence to show staged activation, spatial residuals, and conservative hypothesis boundaries.