Journal of Siberian Federal University. Mathematics & Physics / Modification of Spatiotemporal Interference Suppression Algorithms to Improve Their Computational Efficiency and Accuracy of Navigation Parameter Measurements

Full text (.pdf)
Issue
Journal of Siberian Federal University. Mathematics & Physics. 2026 19 (3)
Authors
Tyapkin, Valery N.; Dmitriev, Dmitry D.; Shtro, Pavel V.; Tyapkin, Igor V.; Mikhov, Evgenii D.; Ratushniak, Vasilii N.
Contact information
Tyapkin, Valery N. : Siberian Federal University (Krasnoyarsk, Russian Federation); ; Dmitriev, Dmitry D. : Siberian Federal University (Krasnoyarsk, Russian Federation); ; Shtro, Pavel V. : JSC NPP Radiosvyaz (Krasnoyarsk, Russian Federation); Tyapkin, Igor V. : Siberian Federal University (Krasnoyarsk, Russian Federation); ; Mikhov, Evgenii D. : Siberian Federal University (Krasnoyarsk, Russian Federation); ; Ratushniak, Vasilii N. : Siberian Federal University (Krasnoyarsk, Russian Federation);
Keywords
antenna array; spatiotemporal interference suppression algorithms; adaptive algorithms; global navigation satellite systems; GNSS receivers; unmanned aerial vehicles; QR decomposition; recurrent matrix estimation; computational efficiency; accuracy of measurement of navigation parameters
Abstract

This article discusses an algorithm for optimal spatiotemporal processing of navigation parameters in the presence of interference. The problem of estimating radio navigation parameters in GNSS receivers equipped with an antenna array is addressed. An optimal adaptive algorithm for determining navigation parameters using an antenna array based on GNSS signals in an unknown interference environment is synthesized. The main approaches to improving the computational efficiency of adaptive spatial-temporal processing algorithms in GNSS receivers are presented. It is shown that recursive updating of the R matrix using the QR factorization based on Givens rotations significantly improves computational efficiency. Examples of applying the CORDIC algorithm to recursive estimation of the R matrix and antenna array weights are given

Pages
357–368
EDN
PQRZCV
Paper at repository of SibFU
https://elib.sfu-kras.ru/handle/2311/158236