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Article

Research into a Multi-Variate Surveillance Data Fusion Processing Algorithm

by , * and
State Key Laboratory of Air Traffic Management System and Technology, Nanjing 210000, China
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Author to whom correspondence should be addressed.
Sensors 2019, 19(22), 4975; https://doi.org/10.3390/s19224975
Received: 11 September 2019 / Revised: 24 October 2019 / Accepted: 13 November 2019 / Published: 15 November 2019
(This article belongs to the Section State-of-the-Art Sensors Technologies)
Targeted information sources include radar and ADS (Automatic Dependent Surveillance) for civil ATM (Air Traffic Management) systems, and the new navigation system based on satellites has the capability of global coverage. In order to solve the surveillance problem in mid-and-high altitude airspace and approaching airspace, this paper proposes a filter-based covariance matrix weighting method, measurement variance weighting method, and measurement-first weighted fusion method weighting integration algorithm to improve the efficiency of data integration calculation under fixed accuracy. Besides this, this paper focuses on the technology of the integration of a multi-radar surveillance system and automated related surveillance system in the ATM system and analyzes the constructional method of a multigeneration surveillance data integration system, as well as establishing the targeted model of sensors and the target track and designing the logical structure of multi-radar and ADS data integration. View Full-Text
Keywords: ADS; radar; data integration; wave filtering ADS; radar; data integration; wave filtering
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MDPI and ACS Style

Mao, Y.; Yang, Y.; Hu, Y. Research into a Multi-Variate Surveillance Data Fusion Processing Algorithm. Sensors 2019, 19, 4975. https://doi.org/10.3390/s19224975

AMA Style

Mao Y, Yang Y, Hu Y. Research into a Multi-Variate Surveillance Data Fusion Processing Algorithm. Sensors. 2019; 19(22):4975. https://doi.org/10.3390/s19224975

Chicago/Turabian Style

Mao, Yi, Yi Yang, and Yuxin Hu. 2019. "Research into a Multi-Variate Surveillance Data Fusion Processing Algorithm" Sensors 19, no. 22: 4975. https://doi.org/10.3390/s19224975

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