DGS CLEARSITE™

DGS CLEARSITE™ optimizes RF network operations through real-time utilization statistics.

CLEARSITE™
Driven RF Intelligence

See, understand, and optimize the wireless environment your operations depend on. CLEARSITE™ transforms raw RF activity into real-time intelligence so organizations can improve performance, eliminate interference, secure critical assets, and plan confidently for the future.

What
CLEARSITE™ DELIVERS

RF
Awareness

Real-time visibility into every signal in the environment, across LMR, LTE, 5G, WiFi, and IoT. Baseline assessments, noise floor, occupancy, signal inventories.

Interference Management

Detect, classify, and geolocate interference in minutes—not days. Continuous monitoring, automated alerts, forensic replay.

Performance Management

Correlate RF activity with actual network performance. RSRP/RSRQ/SINR, coverage validation, historical trends.

Anomaly Detection & RF Security

Identify rogue devices, jamming, unknown signals, or suspicious RF behavior. Behavioral baselines, threat alerts, security insights

Coexistence Optimization

Optimize channels and reduce conflict across shared or congested spectrum. CBRS, WiFi, multi-tenant environments, enterprise/venue coexistence.

Future: Autonomous RF Optimization

Policy-driven ML agents that take action automatically. Human oversight with intelligent closed-loop control.

Where
CLEARSITE™ is Used

  • Smart cities and critical urban infrastructure
  • Industry 4.0 automation and private 5G
  • Airports, ports, and transportation hubs
  • Public safety communications
  • Venues and large event environments
  • Border and perimeter operations

Why CLEARSITE™

CLEARSITE™ gives organizations command of their spectrum, clarity in operations, and confidence in every wireless decision.

  • Works across all major technologies
  • Detect → Classify → Decode → Locate → Analyze pipeline
  • Stationary or portable deployment options
  • Scalable from single facility to national footprint
  • Powered by one of the world’s largest AI-RF patent portfolios