|
| GNSS Performance Monitoring System |
ISI is developing a set of analysis tools called the GNSS Performance Monitoring System, or GPMS, that is capable of independent monitoring, airspace and augmentation system prediction and planning, NOTAMs, public dissemination of performance information, and data collection and archiving.
Satellite navigation systems have generated a challenge to predicting availability of service. The impact of a satellite outage is not intuitive due to the dynamics of the constellation. The ability to relay real-time system performance to the user community is required in order to develop and distribute NOTAMs, manage traffic flow, and predict service level availability.
A real-time performance monitoring and prediction capability is required as an essential tool to ensure the safe operation of all satellite navigation systems authorized to operate in a Nation or State’s National Airspace. The GPMS will provide a country with the capability to manage, monitor, and control all GNSS signals within its National Airspace System to support the transition to satellite based CNS/ATM.
GPMS provides the ability to:
- Offer GNSS service to users per the International Civil Aviation Organization (ICAO) Chicago Convention (which mandates national liability for authorizing the use of GNSS in national airspace).
- Monitor the performance of GNSS or SBAS signals in real time, including the ionosphere.
- Provide status as to the availability of the different levels of approach capabilities such as LNAV/VNAV, LPV, or non-precision approaches, and predict availability of those services into the future.
- Monitor the GNSS service and archive performance data to support accident investigation.
- Provide aeronautical information needed to generate NOTAMs, which is legally necessary in order to provide the GNSS/SBAS service.
For the GPMS project, ISI developed the Service Volume Model Real-Time (SRT) for DECEA using ISI’s patented technology. ISI’s model generates real time information as an essential assessment tool in order to develop the capability to generate information useful to daily flying operations. Our model validates the tools against the RAIM and WAAS algorithms to provide a baseline for real-time or time-critical applications.
ISI’s SRT can be tailored to software to acquire the latest almanac data from monitor stations, as well as effective Notice Advisory to NAVSTAR Users (NANUs) and airport data, and other parameters needed to accomplish the task objectives. |
|
|