519.2 Mathematical modeling of assessing the quality of intruder detection by a robotic system in a wooded area

Pushkarev Y. A. (Филиал ВА РВСН), Sviridov V. V. (Филиал ВА РВСН)

DETECTION PROBABILITY, CHANGING PHONO TARGET ENVIRONMENT, ADDITIVE MIXTURE OF SIGNAL AND NOISE, DETECTION THRESHOLD, FALSE ALARM PROBABILITY


doi: 10.18698/2309-3684-2021-1-7790


When solving the tasks of protecting critical objects, the problem of detecting an intruder in a non-deterministic dynamic external environment with the use of standard technical means arises. The article considers a methodological approach to assessing the quality of probabilistic characteristics of intruder detection using optoelectronic means of a robotic complex. Based on the obtained parameters of the statistics of received signals from optoelectronic devices, changes in the values of the probability of detecting an intruder, the values of the detection threshold and the signal-to-noise ratio at different values of the false alarm probability are analyzed.


Kuzmichev V.V., Skripachev D.A. FCNVT i bezopasnost' kriticheski vazhnyh ob"ektov [FTSNVT and the safety of critical facilities]. Moscow, FSUE «SNPO «Eleron» Publ., 2011, 235 p.
SAYGA 12. RU. Boevye roboty Vooruzhennyh Sil Rossii [Combat robots of the Armed Forces of Russia] [Electronic resource]. Access mode: https://sayga12.ru/6221-2/ (accessed: 01.11.2020)
EN 50131-2-2. Alarm systems – Intrusion systems – Part 2-2: Requirements for passive infrared detectors. Approved 2004-05-04. CENELEC. – 38 p.
Volkhonskiy V.V., Vorobyov P.V. Estimation method of unauthorized intrusion probability detection by passive infrared detector. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2011, no.1 (77), pp.120–123.
Chuev V.U., Dubogray I.V., Anisova T.L. Probability model of meeting an attack of different types of weapon. Mathematical Modeling and Computational Methods, 2018, no.1, pp.90–97.
Korsunsky V.A. Perspektivy razvitiya voennyh robototekhnicheskih kompleksov nazemnogo bazirovaniya v Rossii [Prospects for the development of ground-based military robotic complexes in Russia]. Moscow, BMSTU Publ., 2013, 379 p.
Garcia M.L. Proektirovanie i ocenka sistem fizicheskoj zashchity [Design and evaluation of physical protection systems]. Moscow, Mir Publ., 2003, 386 p.
Kaushik A.R., Lovell N.H., Celler B.G. Evaluation of PIR detector characteristics for monitoring occupancy patterns of elderly people living alone at home. Annual International Conference of the IEEE Engineering in Medicine and Biology — Proceedings, 2007, pp.3802–3805.
Volkhonskiy V.V. About task of probability detection increasing during unauthorized penetration to guarded object. The bulletin of Voronezh Institute of the Ministry of Internal Affairs of Russia, 2011, no.4, pp.35–44.
Bogdanov A.V., Bagrov V. Osobennosti harakteristik obnaruzheniya PIK i sovmeshchennyh PIK + RV datchikov dlya pomeshchenij [Features of the characteristics of PEAK detection and combined PEAK + RV sensors for premises]. Algoritm bezopasnosti [Security Algorithm], 2012, no.4, pp.72–73.
Volkhonskiy V.V., Malyshkin S.L. The issue of unity of terminology in physical protection applications. Information and Control Systems, 2013, no.5(66), pp.61–68.
Nefedov S.I., Skosyrev V.N., Rastvorov S.A., Vostorgov A.B., Noniashvili M.I., Shumov A.V. Experimental research of different target types radar pictures in milieter wave range. Electronic scientific and technical periodical: Science and Educational, 2012, no.1, 24 p.
Sviridov V.V., Dubin A.E. Avtonomnye transportnye sistemy i mobil'nye robotizirovannye platformy monografiya [Autonomous transport systems and mobile robotic platforms]. Serpukhov, SRTMA Publ. (branch in Serpukhov, Moscow region), 2019, 174 p.
Maltsev A.I. Podhod k obosnovaniyu veroyatnostnyh harakteristik perimetral'nyh sredstv obnaruzheniya [Approach to the substantiation of probabilistic characteristics of perimeter detection tools]. Tekhnologii zashchity [Protection Technologies], 2015, no.5. URL: http://www.tzmagazine.ru/jpage.php?uid1=1348&uid2=1450&uid3=1461
Trukhachev A.A. Radiolokacionnye signaly i ih primenenie [Radar signals and their application]. Moscow, Voenizdat Publ., 2005, 320 p.
Helstrom C. Statistical theory of signal detection. New York, Pergamon Press., 1960, 364 p.
Pushkarev Yu.A. Sistemy avtomaticheskogo upravleniya v raketno-kosmicheskoj tekhnike. Zadachi slezheniya i terminal'nogo upravleniya. [Automatic control systems in rocket and space technology. Tasks of tracking and terminal management]. Serpukhov, SRTMA Publ. (branch in Serpukhov, Moscow region), 2020, 357 p.
Chimitdorzhiev T.N. K voprosu ob ispol'zovanii polyarimetricheskih radiolokacionnyh dannyh dlya klassifikacii razlichnyh tipov podstilayushchih poverhnostej [On the use of polarimetric radar data for the classification of various types of underlying surfaces]. Ulan-Ude, BSC SB RAS, 2003.


Пушкарёв Ю.А., Свиридов В.В. Модель оценки качества характеристик робототехнического комплекса для обнаружения нарушителя в лесистой местности. Математическое моделирование и численные методы, 2021, № 1, с. 77–90.



Download article

Количество скачиваний: 19