Alexander A. Chugunov – Post-graduate Student,
Department of Radio Systems, «National Research University «MPEI» (Moscow, Russia)
E-mail: iamchugunov@gmail.com
Vladimir B. Pudlovskiy – Ph.D. (Eng.),
Senior Research Scientist, FSUE «Vniiftri» (Moscow region, Mendeleevo, Russia) E-mail: pudlovskiy@vniiftri.ru
Roman S. Kulikov – Ph.D. (Eng.), Head of Department of Radio Systems,
«National Research University «MPEI» (Moscow, Russia)
SPIN-код: 6132-5082
E-mail: coolicoff@gmail.com
Alexander P. Malyshev –Student,
Department of Radio Systems, «National Research University «MPEI» (Moscow, Russia) E-mail: Sasha29091999@yandex.ru@mail.ru
Problem statement. The accuracy of radio radiation source (RRS) coordinates determination in multiposition passive systems (MPS) is largely determined by the algorithm used. Traditionally, the MPS use one-step estimates of RRS coordinates obtained by the least squares method (LSM), where differences in measurements of RRS signal reception moments at different receiving stations (RS) are used as input data. This approach ignores some of the information contained in the observations – the moments and period of radio signal emission from RRS.
Aim. Analysis of the filtration algorithm potential capabilities for determining the RRS coordinates and moments of emission time for sampling sequential time of arrival (ToA) of RRS signal observations.
Results. The algorithm of joint filtration of RRS coordinates and emission time moments for sampling of sequential observations is presented. The results of modeling of different algorithms for determination of RRS coordinates are presented, and the advantages of the proposed algorithm in comparison with the traditional algorithm based on the difference-distance method (DDM) are shown: reduction of the coordinate estimation error standard deviation by more than 4.9 times in the working zone of the MPS and determination of coordinates in the «blind» zone.
Practical significance. The filtering algorithm for RRS coordinates determination in MPS by ToA observations is presented. The main differences of the proposed algorithm in comparison with the one-step RRS coordinates estimation on the basis of DDM are the RRS emission time estimation in the time scale of RS and joint processing of a sample of successive ToA observations.
Chugunov A.A., Pudlovskiy V.B., Kulikov R.S., Malyshev A.P. Filtration localization algorithm of radiation sources position estimation in passive multiposition systems. Radiotekhnika. 2020. V. 84. № 9(18). P. 38−47. DOI: 10.18127/j00338486-202009(18)-03 (In Russian).
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