Implementation of a Spatial Filtering Algorithm for Radio Navigation Signals on FPGA

The article is devoted to solving the problem of implementing a spatial filtering algorithm using the least squares method on a programmable integrated circuit. The necessity of using special signal processing methods is explained by the presence of a complex interference environment and a low signal level from the satellite at the receiving point during the operation of global navigation satellite systems. The algorithm under consideration is effectively used in a stationary signal-to-noise environment and is the simplest adaptive algorithm in terms of computational complexity. A comparison is made between the theoretical model of an adaptive processing algorithm and experimental data obtained during implementation on a programmable logic circuit.

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Publication Details

Published
2025-06-30
DOI
https://doi.org/10.1109/synchroinfo65403.2025.11079317
Citations
1
Primary Topic
Inertial Sensor and Navigation
Type
article
Field-Weighted Citation Impact
4.99
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article

Implementation of a Spatial Filtering Algorithm for Radio Navigation Signals on FPGA

E. I. Glushankov, A.G. Maksimova, З. Кондрашов
1 citations
Inertial Sensor and Navigation
4.99
article

Implementation of a Spatial Filtering Algorithm for Radio Navigation Signals on FPGA

E. I. Glushankov, A.G. Maksimova, З. Кондрашов
article en
1 citations

Abstract

The article is devoted to solving the problem of implementing a spatial filtering algorithm using the least squares method on a programmable integrated circuit. The necessity of using special signal processing methods is explained by the presence of a complex interference environment and a low signal level from the satellite at the receiving point during the operation of global navigation satellite systems. The algorithm under consideration is effectively used in a stationary signal-to-noise environment and is the simplest adaptive algorithm in terms of computational complexity. A comparison is made between the theoretical model of an adaptive processing algorithm and experimental data obtained during implementation on a programmable logic circuit.

Saint-Petersburg State University of Telecommunications (RU)
Openalex Percentile: Top 5%
Inertial Sensor and Navigation
4.99
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