Modeling of the"thin" structure probability discrepancy distribution in the indications of ADS-B and SSR. Uncompensated latency
https://doi.org/10.26467/2079-0619-2019-22-4-8-20
Abstract
The upcoming transition to a new generation of the elements in the ATC system - AZN-B - has set a number of tasks related to confirming the integrity of the data received, and determining their accuracy characteristics. Radar surveillance systems which are used up to now have established a good reputation and the matter of succession is naturally associated with the comparison of these two recording systems data. Discrepancies (differences) in the AZN-B registrations and radar data are an additional source of information related to reliability and accuracy of their measurements. The problem lies in the method of information extraction. The article analyzes the stable features of discrepancy distribution (histograms) probability obtained in the "Air Navigation Research and Development Institute" branch of GosNII GA by analyzing the observations of aircraft operations in Moscow region. The presence of asymmetry in these histograms is supposed to be interpreted as the presence of uncompensated latency in the transmission of data from AZN-B, which is typical for a certain portion of aircraft in the airspace of Russia. The emphasis on the "territorial affiliation" of the effect is due to the fact that we don’t have any information about the works abroad devoted to the phenomenon under discussion. In accordance with the hypothesis stated, a mathematical model of the measurement procedure with the following parameters to be estimated was constructed: the average value of the uncompensated delay and the expected share of aircraft, characterized by this defect. The values of the sought-for parameters were discovered according to the condition of minimum "distance" between the experimental histogram and the corresponding model analytical dependence. The estimates made revealed that about 30% of the aircraft, out of the total observed number, report their coordinates with an additional error of 75 m. at an average.
About the Authors
I. V. Alipov
Branch of GosNII GA, "Air Navigation Research and Development Institute"
Russian Federation
Russian Federation
Ivan V. Alipov - Candidate of Technical Sciences, Senior Researcher.
Moscow
V. L. Kuznetsov
Moscow State Technical University of Civil Aviation
Russian Federation
Russian Federation
Valeriy L. Kuznetsov - Doctor of Technical Sciences, Professor, the Head of the Applied Mathematics Chair
References
1. Ali, B.S., Schuster, W. and Ochieng, W.Y. (2017). Evaluation of the capability of automatic dependent surveillance broadcast to meet the requirements of future airborne surveillance applications. The Journal of Navigation, vol. 70, iss. 1, Jan., pp. 49-66.
2. Kakubari, Y., Kosuge, Y. and Koga, T. (2017). [EN-A-060] ADS-B latency estimation technology for surveillance performance assessment, EIWAC 2017 Conference, Tokyo, Japan [Electronic resource]. URL: https://www.enri.go.jp/eiwac/eiwac_2017/specialsite_eiwac2017/papers/1_frt_1/3_en-a-060_frt1_full_paper.pdf (accessed 30.03.2019).
3. Kuznetsov, V.L. and Tarakanov, A.A. (2017). Law distribution approximation on eigenstate errors of ADS-B based on cumulant analysis of ADS-B-RAD system data disparity. Civil Aviation High Technologies, vol. 20, no. 2, pp. 27-36. (in Russian)
4. Thedford, W.A. (2011). ADS-B IN/OUT Technical issues. CNS/ATM Conference, Florida.
5. Zhang, Jun, Wei, Liu and Zhu, Yanbo. (2011). Study of ADS-B data evaluation. Chinese Journal of Aeronautics, no. 24(4), pp. 461-466.
6. Kuznetsov, V.L. and Dupikov, V.V. (2015). Analytical model of the ADS-B information integrity radar monitoring. The Scientific Bulletin of the Moscow State Technical University of Civil Aviation, no. 220, pp. 64-72. (in Russian)
7. Alipov, I.V., Eshchenko, A.A. and Daleckij, S.V. (2017). Accurate estimation of radar errors using automatic dependent surveillance-broadcast. The Scientific Bulletin of The State Scientific Research Institute of Civil Aviation (GosNII GA), no. 18(329), pp. 105-113. (in Russian).
8. Fesenko, S.V. (2017). Accurate estimation of radar errors using automatic dependent surveillance - broadcast. The Scientific Bulletin of The State Scientific Research Institute of Civil Aviation (GosNII GA), no. 17(328), pp. 70-77. (in Russian)
9. Verbraak, T.L., Ellerbroek, J., Sun, J. and Hoekstra, J.M. (2019). Large-scale ADS-B data and signal quality analysis [Electronic resource]. 12th USA/Europe Air Traffic Management Research and Development Seminar (ATM2017). URL: http://www.atmseminarus.org/seminarContent/seminar12/papers/12thATM_RD_Seminar_paper_83.pdf (accessed 30.03.2019).
10. Pchelintsev, A. (2009). Radar alignment and accuracy tool: rass-r radar comparator dual. IE-SUP-00042-002/2010. Intersoft Electronics, 60 p.
Review
For citations:
Alipov I.V., Kuznetsov V.L. Modeling of the"thin" structure probability discrepancy distribution in the indications of ADS-B and SSR. Uncompensated latency. Civil Aviation High Technologies. 2019;22(4):8-20. (In Russ.) https://doi.org/10.26467/2079-0619-2019-22-4-8-20
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