Critical need for proactive RF signal monitoring
Radio background noise and interferences are ongoing operational challenges for air traffic control communications. These issues range from routine technical problems to potential safety concerns requiring immediate attention.
Signal degradation can be caused by multiple sources:
- Environmental factors, such as ice accumulation on antennas and water intrusion into phasing equipment
- Nearby equipment creating unwanted RF noise
- Hardware degradation, such as aging components affecting signal transmission
- Intentional interference, like jamming
Limitations of conventional radio monitoring
ANSPs have experienced troubleshooting teams equipped with sophisticated test and measurement equipment. However, the fundamental challenge lies not in local troubleshooting capabilities, but in timely problem detection and in isolating issues in space, time and frequency. This requires comprehensive visibility across the entire radio infrastructure.
Traditional test and measurement equipment provides detailed data on individual areas or specific technical parameters, but lacks the ability to present a unified, network-wide view of signal quality and noise levels.
This shortcoming means that engineering teams cannot quickly identify whether issues are isolated or part of broader patterns affecting multiple locations or frequencies.
Without this holistic perspective, problems are often identified only after:
- Controllers complain about bad communications quality
- Routine maintenance discovers existing problems
- Service degradation impacts operations
- Multiple incidents reveal systemic issues
Requirements for effective proactive radio monitoring
- Network-wide visibility providing a complete overview of all sites simultaneously
- Real-time RSSI measurement across all radio frequencies
- Automated detection of signal quality degradation
- Historical trend analysis for pattern identification
- Site and region specific performance tracking
- Immediate alerts when thresholds are exceeded
Without these capabilities, engineering teams operate reactively, responding to problems after they impact operations rather than preventing issues through early detection. Reliable data is essential to locating interference sources in space, time and frequency so that service engineers do not have to rely on luck to detect a problem in the field, wasting valuable time and resources.