ARTÍCULO
TITULO

SASS-C processing capability of MSPSR data

Nikolas ?ácik    
Andrej Novák    
Andrés Soto    
Grzegorz Drupka    

Resumen

The main objective of this expertise was to examine if Surveillance Analysis and Support System for ATC Centre (SASS-C) verification tool is interoperable with currently implemented Multi-Static Primary Surveillance Radar (MSPSR) and Passive Surveillance System (PSS) technologies as well as with type of data that are delivered by them. In case of SASS-C is not interoperable to work with MSPSR/ PSS data yet, the task is to suggest appropriate solutions and suggestions for verif Opportunity Traffic Reconstructor (OTR) algorithm to use these values with an appropriate level of confidence. Our research was focused to simulation of the data and data handling of different sensor systems now and in the future. We are expecting new technologies (MSPSR and PSS systems) to become widely used as the base stone of the surveillance in the coming years. The whole expertise was done in European Organisation for the Safety of Air Navigation (EUROCONTROL), Brussels in cooperation of Surveillance Services Department, SASS-C team with the University of Zilina, Air Transport Department. The article describes whole expertise and offer to the reader guide how to simulate pure MSPSR and PSS data in SASS-C VERIF tool. The whole simulation is based on modifications done on the existing datasets obtained from multilateration (MLAT) sensors. In our experiment we used datasets provided by Air Navigation services of Czech Republic (CZ ANS). All modifications, which have been done, are described in this document as well as suggestions, outcomes and conclusions of the analysis.

 Artículos similares

       
 
Qian Qu, Mohsen Hatami, Ronghua Xu, Deeraj Nagothu, Yu Chen, Xiaohua Li, Erik Blasch, Erika Ardiles-Cruz and Genshe Chen    
Over the past decade, there has been a remarkable acceleration in the evolution of smart cities and intelligent spaces, driven by breakthroughs in technologies such as the Internet of Things (IoT), edge?fog?cloud computing, and machine learning (ML)/arti... ver más
Revista: Future Internet

 
Alexandra P. Schneider, Benoit Paoletti, Xavier Ottavy and Christoph Brandstetter    
Experimental monitoring of blade vibration in turbomachinery is typically based on blade-mounted strain gauges. Their signals are used to derive vibration amplitudes which are compared to modal scope limits, including a safety factor. According to indust... ver más

 
Sergio Bonaccorsi, Marco Felice Montaruli, Pierluigi Di Lizia, Moreno Peroni, Alessandro Panico, Marco Rigamonti and Francesco Del Prete    
The increasing number of objects in Earth orbit has encouraged the development of space surveillance and tracking (SST) applications. A critical aspect of SST is the identification and characterization of close encounters between pairs of space objects. ... ver más
Revista: Aerospace

 
Xiaonan Wang, Yang Guo and Yuan Gao    
Non-terrestrial network (NTN) is a trending topic in the field of communication, as it shows promise for scenarios in which terrestrial infrastructure is unavailable. Unmanned autonomous intelligent systems (UAISs), as a physical form of artificial intel... ver más
Revista: Information

 
Astrid Schilmann, Andrés Sánchez-Pájaro, Marbella T. Ovilla-Muñoz, Juan Téllez-Sosa, Sugey Bravo-Romero, Sara Yuvisela Bahena-Reyes, Margarita Lobato, Jesús Martínez-Barnetche, Celia Mercedes Alpuche-Aranda, Héctor Lamadrid-Figueroa and Tonatiuh Barrientos-Gutiérrez    
We aimed to estimate the lead time and infection prevalence from SARS-CoV-2 wastewater (WW) monitoring compared with clinical surveillance data in Mexico to generate evidence about the feasibility of a large-scale WW surveillance system. We selected 10 W... ver más
Revista: Water