Spectrum Dashboard

Overlays diverse data products onto a unified geographic interface. Users can toggle between spectrum occupancy heatmaps, propagation path loss layers, and terrain elevation models to correlate signal activity with physical topography. This fusion allows an operator to instantly identify why a signal is blocked by a ridgeline or concentrated in an urban canyon, moving beyond abstract charts to actionable spatial intelligence.

Renders dynamic, color-coded grids where each cell represents the duty cycle or received signal power for a specific frequency at a specific location. The dashboard ingests streaming sensor data and updates the heatmap in near real-time, allowing operators to visually detect the emergence of new emitters, identify spectrum holes, and monitor congestion. A fading trail effect often indicates historical occupancy to reveal transient signals.

Displays spectral activity over time on a two-dimensional plot where the x-axis represents frequency, the y-axis represents time, and color indicates signal amplitude. This view is critical for classifying frequency-hopping patterns, identifying the duty cycle of rotating radars, and distinguishing between persistent background noise and intermittent burst transmissions. Operators can scrub backward in time to analyze the prelude to an anomalous event.

Generates boundary lines connecting points of equal signal power or interference-to-noise ratio. These protection contours are essential for visualizing the spatial extent of a transmitter's coverage or the precise geographic boundary of an exclusion zone. The dashboard dynamically recalculates these contours based on live propagation model updates, instantly showing a commander where a new jammer's effective range overlaps with friendly communication links.

Integrates backend machine learning models to flag deviations from a learned baseline. When the dashboard detects an unauthorized transmission or a sudden change in spectral noise floor, it triggers a visual alert on the map and in a chronological event log. This capability reduces operator fatigue by directing human attention only to high-priority spectrum anomalies, such as the appearance of a non-cooperative emitter in a protected aeronautical band.

Projects future spectrum utilization by rendering the output of a Predictive REM engine. Using a time-slider, an operator can visualize forecasted congestion 30 seconds or 5 minutes into the future. This allows for proactive frequency deconfliction, enabling a spectrum manager to issue a re-tuning command to a cognitive radio network before a predicted primary user transmission begins, rather than reacting after interference has already occurred.