Identifying the regularities of the signal detection method using the Kalman filter

Authors

DOI:

https://doi.org/10.15587/1729-4061.2023.289472

Keywords:

Kalman filter, geolocation, Doppler measurements, low earth orbit satellite, radio monitoring

Abstract

Currently, it is more efficient to use LEO small spacecraft as radio control points to determine the compliance of the radiation parameters of electronic means with the relevant norms and conditions of permits for the use of the radio frequency spectrum. Such satellite radio monitoring systems make it possible to determine the parameters of signals and the location of radio-electronic means over a large area with a diverse terrain, which will increase the efficiency of radio monitoring systems. When performing such tasks, one of the most important parameters is the detection and isolation of a useful signal against the background of noise and interference. For such purposes, it is effective to use Kalman filters. It was found that the Kalman filter can detect and isolate useful signals against the background of noise and interference with very high accuracy. However, when solving such problems, problems arise related to the stability of the method to the choice of the initial state of the filter and the inevitable distortion of the frequency of the desired signal due to the presence of the Doppler effect. In the course of this study, it was found that the similarity coefficient depends on the noise level, but it does not actually depend on frequency distortion.

It was also found that when the SNR ratio is greater than 0 dB, the radio signal at the input of the on-board measuring receiver will be received with a reliability of more than 90 %. Therefore, it can be concluded that the signal detection method for satellite radio monitoring based on the use of the Kalman filter is resistant to possible frequency distortions of the desired signal due to the Doppler effect and does not affect the correctness and speed of decisions made

Author Biographies

Bekbolat Medetov, S.Seifullin Kazakh Agro Technical Research University

PhD

Department of Radio Engineering, Electronics and Telecommunications

Aigul Kulakayeva, International Information Technology University

PhD

Department of Radio Engineering, Electronics and Telecommunications

Ainur Zhetpisbayeva, S.Seifullin Kazakh Agro Technical Research University

PhD

Department of Radio Engineering, Electronics and Telecommunications

Nurtay Albanbay, Satbayev University

PhD

Department of Cybersecurity, Information Processing and Storage

Tair Kabduali, S.Seifullin Kazakh Agro Technical Research University

Student

Department of Radio Engineering, Electronics and Telecommunications

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Identifying the regularities of the signal detection method using the Kalman filter

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Published

2023-10-31

How to Cite

Medetov, B., Kulakayeva, A., Zhetpisbayeva, A., Albanbay, N., & Kabduali, T. (2023). Identifying the regularities of the signal detection method using the Kalman filter. Eastern-European Journal of Enterprise Technologies, 5(9 (125), 26–34. https://doi.org/10.15587/1729-4061.2023.289472

Issue

Vol. 5 No. 9 (125) (2023): Information and controlling system

Section

Information and controlling system

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Copyright (c) 2023 Bekbolat Medetov, Aigul Kulakayeva, Ainur Zhetpisbayeva, Nurtay Albanbay, Tair Kabduali

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