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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Main Authors: Nicolae CONSTANTINESCU, Emil CONSTANTINESCU, Alina-Ioana CHIRA
Format: Article
Language:English
Published: National Institute for Aerospace Research “Elie Carafoli” - INCAS 2022-12-01
Series:INCAS Bulletin
Subjects:
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.
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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