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A monitoring method based on ADS-B messages and terrestrial radio spectrum data fusion
| Content Provider | Semantic Scholar |
|---|---|
| Author | Zhang, Xiao Yun Chen, Jun Chang Huang, Ming Yang, Jing Jing |
| Copyright Year | 2019 |
| Abstract | Radio monitoring is a prerequisite for ensuring the safety of wireless communications, especially in the field of aviation. Illegal FM broadcast signals might interfere with civil aviation communications, but it is difficult to find these signals, since an airline route involves a wide geographical range. This paper proposes a radio monitoring method that integrates the ADS-B (Automatic Dependent Surveillance - Broadcast) messages with terrestrial radio monitoring spectrum data in order to detect potential interference signals along airline routes timely. The system consists of three key modules: the sensor node, the cloud-based data fusion and analysis server, and the web user interface (Web UI). The monitoring data is uploaded to the cloud for processing and display. Users can interact with the system through the Web UI. This cross-domain data fusion application not only benefits civil aviation safety, but also provides effective data support and important decision-making reference for radio monitoring managers to analyze potential radio interference. |
| Starting Page | 1 |
| Ending Page | 1 |
| Page Count | 1 |
| File Format | PDF HTM / HTML |
| DOI | 10.23919/URSIAP-RASC.2019.8738513 |
| Journal | 2019 URSI Asia-Pacific Radio Science Conference (AP-RASC) |
| Alternate Webpage(s) | http://www.ursi.org/proceedings/procAP19/papers2019/Abstract120181025.pdf |
| Alternate Webpage(s) | https://doi.org/10.23919/URSIAP-RASC.2019.8738513 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |