№ 1 (17) – 2022

COMPARATIVE EVALUATION OF EXISTING METHODS OF NAVIGATION SUPPORT AND ADVANCED COMBINED METHOD WITH RAO-BLACKWELL PART FILTER

 

https://doi.org/10.37129/2313-7509.2022.17.86-92
 
завантаження O. Semchak

 

 
 

Cite in the List of bibliographic references (DSTU 8302:2015)

Семчак О. М. Порівняльна оцінка існуючих методів навігаційного забезпечення та вдосконалення комбінованого методу з фільтром Рао-Блеквелла. Збірник наукових праць Військової академії (м. Одеса). 2022. Вип. 1(17). С. 86-92. https://doi.org/10.37129/2313-7509.2022.17.86-92 

 

Аbstract

The analysis of the research showed that the most effective development of modern autonomous navigation software is the modernization of complexes and systems, improvement of methods and algorithms of software and hardware implementation, which will ensure the efficiency of existing equipment, relevance and reduce financial burden on weapons and military equipment. The development of a modern autonomous navigation system using modern positioning methods and algorithms is one of the priorities, because the existing systems used today, although effective, but in the future may lead to a number of problems and difficulties that will not be solved in a short time.
The new solution of the scientific and applied problem, which consists in improving the mathematical and software subsystems for determining the current location of combat reconnaissance vehicles with existing information and control systems, is generalized and substantiated. The paper presents the results of an improved method of determining the current value of coordinates with a filter of Rao-Blackwell parts, which allows to determine the current coordinates of the machine with the required accuracy and conservation of the calculated resource of combat information control system.
A comparative evaluation of existing navigation systems and a combined method for determining the current value of coordinates with a filter of Rao-Blackwell parts integrated into the onboard information and control system of the machine. The exact characteristics of the system for determining the current coordinates of the machine that do not exceed half the linear dimensions of the combat vehicle are established. In addition, the estimated power of the processor to perform complex arithmetic tasks in the onboard information and control system. This indicates that by reducing the cumulative error as a result of arithmetic operations in existing algorithms and in the improved method increases the accuracy of the system and reduces the estimated resource of the entire subsystem in the BICS.

Кeywords

on-board information and control systems, Rao-Blackwell part filter, positioning, autonomous moving object, Kalman filter..
 

List of bibliographic references

  1. Безмен П. А. The architecture of a mobile robot control system. Естественные и технические науки. 2018.6(120). URL: https://doi.org/10.25633/etn.2018.06.08.
  2. Семчак О. М. Комбінований метод визначення поточного значення координат навігаційною системою з фільтром частин Рао-Блеквелла. Збірник наукових праць Військової академії. 2020. Т. 2, № 1. С. 55–61. URL: https://doi.org/10.37129/2313-7509.2020.14.1.55-61.
  3. Семчак О. М., Левченко А. О. Недоліки комп’ютерної реалізації SLAM-методів локальної навігації автономних рухомих об’єктів. SCIENCE FOR MODERN HUMANITY SWORLD. 2019. Т. 1, № 2. С. 108–114. URL: https://doi.org/10.30888/2410-6615.2019-02-01-032.
  4. Семчак О. Удосконалений метод оцінки технічного рівня проектів складних технічних систем та програмно-апаратних комплексів. Modern engineering and innovative technologies. 2018. № 07-03. С. 4–10. URL: https://doi.org/10.30890/2567-5273.2019-07-03-005.
  5. Стратонович Р. Л. Теория вероятностей и ее применения. Т. 4 : К теории оптимальной нелинейной фильтрации случайных функций. 1959. 249 с.
  6. Chatila R., Laumond J. Position referencing and consistent world modeling for mobile robots. 1985 IEEE international conference on robotics and automation, St. Louis, MO, USA. URL: https://doi.org/10.1109/robot.1985.1087373.
  7. Crowley J. L. World modeling and position estimation for a mobile robot using ultrasonic ranging. Proceedings, 1989 international conference on robotics and automation, Scottsdale, AZ, USA. URL: https://doi.org/10.1109/robot.1989.100062.
  8. Kalman R. E. A new approach to linear filtering and prediction problems. Journal of basic engineering. 1960. Vol. 82, no. 1. P. 35–45. URL: https://doi.org/10.1115/1.3662552.
  9. Kalman R. E., Bucy R. S. New results in linear filtering and prediction theory. Journal of basic engineering. 1961. Vol. 83, no. 1. P. 95–108. URL: https://doi.org/10.1115/1.3658902.
  10. Li X. R., Kirubarajan T., Bar-Shalom Y. Estimation with applications to tracking and navigation: theory algorithms and software. Wiley & Sons, Incorporated, John, 2008. 584 p.
  11. 1Nitsuk Y. A., Semchak О. М., Sharipova І. V. Ways of diminishing of errors of calculations of computer of autonomous mobile object are for algorithms of slam of navigation. Проблеми створення, випробування, застосування та експлуатації складних інформаційних систем. 2020. № 18. С. 32–43. URL: https://doi.org/10.46972/2076-1546.2020.18.04.
  12. Volovyk A. Y., Havrilov D. V. Approximation of the expanded filter of kalman parallel two-cascade structure. Visnyk of vinnytsia politechnical institute. 2019.145, no. 4. P. 107–115. URL: https://doi.org/10.31649/1997-9266-2019-145-4-107-115.
 
 
 

References

  1. Bezmen, P. A. (2018). The architecture of a mobile robot control system. Estestvennыe y tekhnycheskye nauky, 6(120). DOI: https://doi.org/10.25633/etn.2018.06.08. [in English].
  2. Semchak, O. M. (2020). Combined method for determining the current value of coordinates by a navigation system with a rao-blackwela particle filter. Collection of scientific works of Odesa Military Academy, 1, part 2, 55-61. DOI: https://doi.org/10.37129/2313-7509.2020.14.1.55-61 [in Ukrainian].
  3. Semchak, O. M., & Levchenko, A. O. (2019). Disadvantages of computer implementation of SLAM methods of local navigation of autonomous moving objects.. SCIENCE FOR MODERN HUMANITY SWORLD, 1, 2, 108–114. DOI: https://doi.org/10.30888/2410-6615.2019-02-01-032. [in Ukrainian].
  4. Semchak, O. (2019). An improved method of assessing the technical level of projects of complex technical systems and software and hardware complexes. Modern engineering and innovative technologies,07-03, 4–10. DOI: https://doi.org/10.30890/2567-5273.2019-07-03-005. [in Ukrainian].
  5. Stratonovych, R. L. (1959). The theory of probabilities and its application. Vol. 4: To the theory of optimal nonlinear filtering of random functions. [in Russian].
  6. Chatila, R., & Laumond, J. (1985). Position referencing and consistent world modeling for mobile robots. IEEE international conference on robotics and automation, St. Louis, MO, USA. DOI: https://doi.org/10.1109/robot.1985.1087373. [in English].
  7. Crowley, J. L. (1989). World modeling and position estimation for a mobile robot using ultrasonic ranging. Proceedings, 1989 international conference on robotics and automation, Scottsdale, AZ, USA. DOI: https://doi.org/10.1109/robot.1989.100062. [in English].
  8. Kalman, R. E. (1960). A new approach to linear filtering and prediction problems. Journal of basic engineering, 82, 1, 35–45. DOI: https://doi.org/10.1115/1.3662552. [in English].
  9. Kalman, R. E., & Bucy, R. S. (1961). New results in linear filtering and prediction theory. Journal of basic engineering, 83, 1, 95-108. DOI: https://doi.org/10.1115/1.3658902. [in English].
  10. Li, X. R., Kirubarajan, T., Bar-Shalom, Y. (2008). Estimation with applications to tracking and navigation: theory algorithms and software. Wiley & Sons, Incorporated, John. [in English].
  11. Nitsuk, Y. A., Semchak, O. M., Sharipova, I. V. (2020). Ways of diminishing of errors of calculations of computer of autonomous mobile object are for algorithms of slam of navigation. Problemy stvorennia, vyprobuvannia, zastosuvannia ta ekspluatatsii skladnykh informatsiinykh system, 18, 32–43. DOI: https://doi.org/10.46972/2076-1546.2020.18.04. [in English].
  12. Volovyk, A. Y., & Havrilov, D. V. (2019). Approximation of the expanded filter of kalman parallel two-cascade structure. Visnyk of vinnytsia politechnical institute, 145, 4, 107-115. DOI: https://doi.org/10.31649/1997-9266-2019-145-4-107-115. [in English].

 

 
Copyright 2014 17.86-92 (eng) А. Розроблено ІОЦ ВА
Templates Joomla 1.7 by Wordpress themes free