ADS-B data gating technique and its probabilistic models

Author:

Rubtsov E. A.1,Kudryakov S. A.1,Dalinger Ia. M.1,Kalintsev A. S.2

Affiliation:

1. Russian University of Transport (MIIT)

2. FSUE “State Air Traffic Management Corporation of the Russian Federation”, Arkhangelsk Air Traffic Management Center

Abstract

The article developed a gating technique that allows us to validate ADS-B data without the necessity to verify using the secondary surveillance radar or multilateration. Probabilistic models of the ADS-B data gating technique, as well as the algorithm for applying these models were proposed. Benchmark cases that occur when aircraft (A/C) positioning by ADS-B systems, determined by threshold values of navigation and pilot’s errors, were analyzed. The first benchmark case assumes not exceeding of navigation and pilot’s errors the bounds of the tolerance limits, which allows us to draw up a conclusion concerning the ADS-B data validation. The second one assumes exceeding of a pilot’s error the bounds of the tolerance limits under an allowable navigational error. Herewith, the air traffic controller (ATC) obtains a message about the proper ADS-B operation and the necessity to issue instructions to the pilot to correct a flight. The third benchmark case assumes exceeding of a navigation error the bounds of the tolerance limits under an allowable or not allowable pilot’s error. In this case, the ATC obtains a message about not valid ADS-B data and the incapability to use these systems. The simulation of the given benchmark cases was performed. In addition, the Rayleigh and Rice distributions were applied to implement the ADS-B data gating technique. The simulation results allow us to assess the required amount of accumulated ADS-B data for the evaluation. Thus, it was found that during the estimate based on the Rayleigh distribution, it is sufficient to accumulate 15–20 measurements, which, when transmitting 2 messages per second and under the condition of the normal ADS-B equipment operation, will take 8–10 s. During the estimate, using the Rice distribution, an accumulation of 25–30 measurements is sufficient, which will take 13–20 s. The developed method will allow the use of ADS-B systems at regional aerodromes with the low intensity of air traffic as the primary or sole surveillance means. 

Publisher

Moscow State Institute of Civil Aviation

Subject

General Medicine

Reference24 articles.

1. Kožović, D.V., Đurđević, D.Ž., Dinulović, M.R., Milić, S., Rašuo, B.P. (2023). Air traffic modernization and control: ADS-B system implementation update 2022: a review. FME Transactions, vol. 51, no. 1, pp. 117–130. DOI: 10.5937/fme2301117K

2. Rozel, M., Gonçalves, N., Reygrobellet, A., Bruneel, P. (2022). Construction of a radar cross-section database using ADS-B data from the OpenSky network. In: Engineering Proceedings, vol. 28 (1), no. 4, pp. 1–10. DOI: 10.3390/engproc2022028004

3. Mba Andeme, J.M.N., Liu, Q., Hadi, A. (2021). FAA Transition Away from Radar and Towards ADS-B Aircraft Communication-Based on Accuracy. Data Mining and Big Data. DMBD 2021. Communications in Computer and Information Science, vol. 1454, pp. 358–374. DOI: 10.1007/978-981-16-75027_35

4. Kalintsev, A., Rubtsov, E., Povarenkin, N. (2023). Application of ADS-B for providing surveillance at civil aviation regional aerodromes. In: Proceedings of 10th International Conference on Recent Advances in Civil Aviation. Lecture Notes in Mechanical Engineering, in Gorbachev, O.A., Gao, X., Li, B. (eds). Springer, Singapore, pp. 371–382. DOI: 10.1007/978-981-19-3788-0_33

5. Levin, D.V., Parshutkin, A.V., Timoshenko, A.V. (2022). Reliability of target selection in the network of geographically separated radar stations in joint processing of radar information in the conditions of relayed interference. Information and Control Systems, no. 3 (118), pp. 55–66. DOI: 10.31799/1684-8853-2022-3-55-66 (in Russian)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3