Enhancing the performance of the Primary Surveillance Radar using Multilateration
One way to improve the measurements of the PSR (Primary Surveillance Radar) is to utilize the cinematic model of the aircraft (A/C) in a Kalman filter. Another newly developed method would be to implement multilateration using a large number of ground-based ADS-B (Automatic Dependent Surveillance-Br...
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National Institute for Aerospace Research “Elie Carafoli” - INCAS
2022-12-01
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Series: | INCAS Bulletin |
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Online Access: | https://bulletin.incas.ro/files/constantinescu-n__all__vol_14_iss_4.pdf |
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author | Nicolae CONSTANTINESCU Emil CONSTANTINESCU Alina-Ioana CHIRA |
author_facet | Nicolae CONSTANTINESCU Emil CONSTANTINESCU Alina-Ioana CHIRA |
author_sort | Nicolae CONSTANTINESCU |
collection | DOAJ |
description | One way to improve the measurements of the PSR (Primary Surveillance Radar) is to utilize the cinematic model of the aircraft (A/C) in a Kalman filter. Another newly developed method would be to implement multilateration using a large number of ground-based ADS-B (Automatic Dependent Surveillance-Broadcast) receivers. Originating in airport surveillance, multilateration grew to become the primary system for ATM (Air Traffic Management) in airspaces without PSR coverage. Given that each of the systems has its own advantages and limitations, we propose an evaluation of an alternative approach that uses data from multiple ADS-B receivers to implement a data fusion algorithm between PSR acquired position and MLAT (Multilateration) estimated position. Among the many ways to implement data fusion, have chosen to analyze two possible solutions: the direct fusion of the two available positions provided by the two systems using a traditional Kalman Filter and a linearization approach for the multilateration solution that does not require position computation. In both cases, these will improve the Kalman filter and lower the position estimation errors. The evaluation takes into consideration the possible sources of inaccuracies and provides sensibility analyses in regards to the number and positioning of ADS-B receivers involved in multilateration. This paper will conclude with a discussion of the computational power required for the two implementations. |
first_indexed | 2024-04-11T14:51:52Z |
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id | doaj.art-8d6bbb7ecda849808c4f7079e412a7f3 |
institution | Directory Open Access Journal |
issn | 2066-8201 2247-4528 |
language | English |
last_indexed | 2024-04-11T14:51:52Z |
publishDate | 2022-12-01 |
publisher | National Institute for Aerospace Research “Elie Carafoli” - INCAS |
record_format | Article |
series | INCAS Bulletin |
spelling | doaj.art-8d6bbb7ecda849808c4f7079e412a7f32022-12-22T04:17:25ZengNational Institute for Aerospace Research “Elie Carafoli” - INCASINCAS Bulletin2066-82012247-45282022-12-01144354910.13111/2066-8201.2022.14.4.4Enhancing the performance of the Primary Surveillance Radar using MultilaterationNicolae CONSTANTINESCU0Emil CONSTANTINESCU1Alina-Ioana CHIRA2INCAS – National Institute for Aerospace Research “Elie Carafoli”, B-dul Iuliu Maniu 220, Bucharest 061136, Romania, constantinescu.n@incas.roDepartment of Aeronautical Systems Engineering and Aeronautical Management, POLITEHNICA University Bucharest, Splaiul Independentei 313, 060042, Bucharest, Romania, cconstantinescu2@upb.roINCAS – National Institute for Aerospace Research “Elie Carafoli”, B-dul Iuliu Maniu 220, Bucharest 061136, Romania, chira.alina@incas.ro One way to improve the measurements of the PSR (Primary Surveillance Radar) is to utilize the cinematic model of the aircraft (A/C) in a Kalman filter. Another newly developed method would be to implement multilateration using a large number of ground-based ADS-B (Automatic Dependent Surveillance-Broadcast) receivers. Originating in airport surveillance, multilateration grew to become the primary system for ATM (Air Traffic Management) in airspaces without PSR coverage. Given that each of the systems has its own advantages and limitations, we propose an evaluation of an alternative approach that uses data from multiple ADS-B receivers to implement a data fusion algorithm between PSR acquired position and MLAT (Multilateration) estimated position. Among the many ways to implement data fusion, have chosen to analyze two possible solutions: the direct fusion of the two available positions provided by the two systems using a traditional Kalman Filter and a linearization approach for the multilateration solution that does not require position computation. In both cases, these will improve the Kalman filter and lower the position estimation errors. The evaluation takes into consideration the possible sources of inaccuracies and provides sensibility analyses in regards to the number and positioning of ADS-B receivers involved in multilateration. This paper will conclude with a discussion of the computational power required for the two implementations.https://bulletin.incas.ro/files/constantinescu-n__all__vol_14_iss_4.pdfprimary surveillance radar (psr)aircraft (a/c)multilateration (mlat)automatic dependent surveillance-broadcast (ads-b)kalman filterair traffic management (atm) |
spellingShingle | Nicolae CONSTANTINESCU Emil CONSTANTINESCU Alina-Ioana CHIRA Enhancing the performance of the Primary Surveillance Radar using Multilateration INCAS Bulletin primary surveillance radar (psr) aircraft (a/c) multilateration (mlat) automatic dependent surveillance-broadcast (ads-b) kalman filter air traffic management (atm) |
title | Enhancing the performance of the Primary Surveillance Radar using Multilateration |
title_full | Enhancing the performance of the Primary Surveillance Radar using Multilateration |
title_fullStr | Enhancing the performance of the Primary Surveillance Radar using Multilateration |
title_full_unstemmed | Enhancing the performance of the Primary Surveillance Radar using Multilateration |
title_short | Enhancing the performance of the Primary Surveillance Radar using Multilateration |
title_sort | enhancing the performance of the primary surveillance radar using multilateration |
topic | primary surveillance radar (psr) aircraft (a/c) multilateration (mlat) automatic dependent surveillance-broadcast (ads-b) kalman filter air traffic management (atm) |
url | https://bulletin.incas.ro/files/constantinescu-n__all__vol_14_iss_4.pdf |
work_keys_str_mv | AT nicolaeconstantinescu enhancingtheperformanceoftheprimarysurveillanceradarusingmultilateration AT emilconstantinescu enhancingtheperformanceoftheprimarysurveillanceradarusingmultilateration AT alinaioanachira enhancingtheperformanceoftheprimarysurveillanceradarusingmultilateration |