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Modified method of invariant immersion in the synthesis of measuring procedures for estimating the motion parameters of a maneuvering target

https://doi.org/10.32446/0368-1025it.2023-2-47-54

Abstract

The problem of processing the results of radar measurements of the target motion parameters under conditions of disturbances due to aircraft maneuvers is considered. In order to adapt to the disturbances of measuring procedures, the method of invariant immersion has been modified. The application of the modified method in the case of a linear observation equation leads to a widespread form of a discrete measurement procedure obtained in this paper as a special case of modified invariant immersion equations. On the basis of statistical modeling of digital processing of the results of radar measurements of the movement parameters of the maneuvering target, the efficiency indicators of radar stations are calculated – these are the averaged absolute and relative errors in the measurement of motion parameters, the averaged wiring coefficient and the averaged time of the duration of the breaks of the tracks. Their analysis allows us to assert the high efficiency of using new measuring procedures synthesized using acceleration models in the form of white noise and Singer in the information and measurement systems of radar stations. This becomes possible due to the presence of the matrix coefficient of adaptation in the structure of the modified equations of invariant immersion. The comparison was carried out with Kalman measurement procedures synthesized using these acceleration models. Calculations of performance indicators confirm the reliability of the results obtained, since the wellknown fact of an increase in the error of measuring the height of an aircraft by monopulse radar stations near the surface is demonstrated. The results of the study will be useful in the development of adaptive measurement procedures for information and measurement systems operating under conditions of disturbances of measuring processes, for example, for survey locators.

About the Authors

A. A. Kostoglotov
Don State Technical University
Russian Federation

Andrey A. Kostoglotov

Rostov-on-Don



A. S. Kornev
Don State Technical University
Russian Federation

Alexey S. Kornev

Rostov-on-Don



I. V. Pugachev
Don State Technical University
Russian Federation

Igor V. Pugachev

Rostov-on-Don



S. V. Lazarenko
Don State Technical University
Russian Federation

Sergey V. Lazarenko

Rostov-on-Don



References

1. Kostoglotov A. A., Kuznecov A. A. Measurement Techniques, 2005, vol. 48, no. 7, pp. 637–645. https://doi.org/10.1007/s11018-005-0196-8

2. Muha Yu. P., Akulov L. G., Naumov V. Yu. Bioinstrumental measuring system in hematological research. Journal Neurocomputers, 2013, no. 6, pp. 42–47. (In Russ.)

3. Siraya T. N. Measurement Techniques, 2018, vol. 61, no. 1, pp. 9–16. https://doi.org/10.1007/s11018-018-1380-y

4. Cvetkov E. I. Osnovy matematicheskoj metrologii [Fundamentals of mathematical metrology]. St. Petersburg, Politekhnika Publ., 2005, 510 p. (In Russ.)

5. Khayrullin R. Z. Measurement Techniques, 2022, vol. 65, no. 4, pp. 250–257. https://doi.org/10.1007/s11018-022-02076-7

6. Sage A. P., Melsa J. L. System identification. Academic Press, New York, 1971, 221 p.

7. Casti J., Kalaba R. Imbedding Methods in Applied Mathematics. Addison-Wesley, New York, 1973, 306 p.

8. Granovsky V. A., Siraya T. N. Model validity in measurements. Sensors and Systems, 2007, no. 10, pp. 52–62. (In Russ.)

9. Kostoglotov A. A., Agapov A. A., Penkov A. S., et al. The method of intellectualization of measurement procedures based on the use of adaptive models of dynamic processes of the combined maximum principle and the theory of regularization. Engineering Journal of Don, 2019, no. 5, available at: ivdon.ru/ru/magazine/archive/N5y2019/6005 (accessed: 12.11.2022). (In Russ.)

10. Bar-Shalom Y., Li X. R. Multitarget-Multisensor Tracking: Principles and Techniques. YBS Publishing, 1995, 615 p.

11. Singer R. A., Behnke K. W. IEEE Transactions on Aerospace and Electronic Systems, 1971, vol. AES-7, no. 1, pp. 100–110. https://doi.org/10.1109/TAES.1971.310257

12. Li X. R., Jilkov V. P. IEEE Transactions on Aerospace and Electronic Systems, 2003, vol. 39, no. 4, pp. 1333–1364. https://doi.org/10.1109/TAES.2003.1261132

13. Kostoglotov A. A., Lazarenko S. V. Journal of Communications Technology and Electronics, 2017, vol. 62, no. 2, pp. 123–127. https://doi.org/10.1134/S1064226917020061

14. Tretyakov V. A., Kulikov G. V., Lukyanets U. Ph. et al. Journal of Radio Electronics, 2020, no. 1, pp. 1–10. (In Russ.) https://doi.org/10.30898/1684-1719.2020.1.8

15. Farina A., Studer F. Cifrovaya obrabotka radiolokacionnoj informacii [Digital processing of radar information]. Moscow, Radio and communication, 1993, 320 р. (In Russ.)

16. Levin S. F. Guide to the expression of uncertainty in measurement: problems, unrealized capabilities and revisions. Pt. 3. The bringing to general terminological denominator. Izmeritel’naya Tekhnika, 2019, no. 7, pp. 14–22. (In Russ.) https://doi.org/10.32446/0368-1025it.2019-7-14-22

17. Grachev A. N., Kurbatsky S. A., Khomyakov A. V. Journal of Communications Technology and Electronics, 2021, vol. 66, no. 2, pp. 149–154. https://doi.org/10.1134/S1064226921020054


Review

For citations:


Kostoglotov A.A., Kornev A.S., Pugachev I.V., Lazarenko S.V. Modified method of invariant immersion in the synthesis of measuring procedures for estimating the motion parameters of a maneuvering target. Izmeritel`naya Tekhnika. 2023;(2):47-54. (In Russ.) https://doi.org/10.32446/0368-1025it.2023-2-47-54

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ISSN 0368-1025 (Print)
ISSN 2949-5237 (Online)