Siberian Federal University 
- Issue
- Journal of Siberian Federal University. Mathematics & Physics. 2016 9 (2)
- Authors
- Tyapkin, Valeriy N.; Dmitriev, Dmitry D.; Fateev, Yuri L.; Kremez, Nikolay S.
- Contact information
- Tyapkin, Valeriy N.:Military Engineering Institute Siberian Federal University Svobodny, 79, Krasnoyarsk, 660041; ; Dmitriev, Dmitry D.:Military Engineering Institute Siberian Federal University Svobodny, 79, Krasnoyarsk, 660041; ; Fateev, Yuri L.:Military Engineering Institute Siberian Federal University Svobodny, 79, Krasnoyarsk, 660041; ; Kremez, Nikolay S.:Military Engineering Institute Siberian Federal University Svobodny, 79, Krasnoyarsk, 660041;
- Keywords
- phased array; adaptive algorithms; Kalman filter; recursive least squares method; QR decomposition
- Abstract
The article discusses the theoretical basis of the two classical recursive algorithms beamforming - algorithm of the Kalman filter and least squares algorithm based on QR decomposition. On the basis of these two algorithms synthesized algorithm to minimize noise at the output of the antenna array, which allows to maintain a constant level of the received useful signal
- Pages
- 258–268
- Paper at repository of SibFU
- https://elib.sfu-kras.ru/handle/2311/20250
Journal of Siberian Federal University. Mathematics & Physics / The Synthesis Algorithm for Spatial Filtering to Maintain a Constant Level of the Useful Signal
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