静的情報試験を用いたダウンリンク航空機動態情報有効性評価
2014 年 2014 巻 131 号 p. 1-16
詳細
2014 年 2014 巻 131 号 p. 1-16
Downlink Aircraft Parameters (DAPs) is one of Secondary Surveillance Radar (SSR) Mode S data-link functions. It enables a ground station to obtain real-time aircraft information such as selected altitude and ground speed. That information provides air traffic controllers with advanced situational awareness, or can be used to improve trajectory estimation for Trajectory Based Operation. Therefore, DAPs is expected to enhance safety and efficiency of Air Traffic Control (ATC) service.
To employ DAPs for ATC service, the reliability of DAPs is important. However, some aircraft are transmitting erroneous DAPs data. It is necessary to ensure the reliability of DAPs.
To apply traditional on-the-ground testing methodology for DAPs validation entails difficulties to cope with the complexity and variety of aircraft equipment, completeness of test patterns, simulation of airborne status, and immediacy of anomaly detection. Responding to these drawbacks, Massachusetts Institute of Technology (MIT) Lincoln Laboratory developed a DAPs validation system with new methodologies. The system monitors data downlinked from actual aircraft to detect erroneous DAPs data. The methodology can process a large amount of data in a short time and detect anomalies in real time.
Preparing for the deployment of DAPs function in Japan, Electronic Navigation Research Institute (ENRI) is conducting development of a DAPs validation system. In the first phase of the development, one technique of MIT methodologies has been implemented. The technique is static value test methodology. The tests examine that DAPs data are in conformance with International Civil Aviation Organization (ICAO) provisions to detect erroneous data. To verify the effectiveness of the technique, static value tests were applied to the actual DAPs data collected at our experimental SSR Mode S ground station. Erroneous data were detected with the technique of static value tests. The effectiveness of the technique was verified for enhancement of the reliability of DAPs data.
