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JOURNALS // Journal of Siberian Federal University. Mathematics & Physics // Archive

J. Sib. Fed. Univ. Math. Phys., 2016 Volume 9, Issue 2, Pages 258–267 (Mi jsfu483)

This article is cited in 6 papers

The synthesis of spatial filtering algorithm with a constant level of useful signal

Valeriy N. Tyapkin, Dmitry D. Dmitriev, Yuri L. Fateev, Nikolay S. Kremez

Military Engineering Institute, Siberian Federal University, Svobodny, 79, Krasnoyarsk, 660041, Russia

Abstract: The theoretical basis of two classical recursive algorithms is considered in the paper. They are beamforming algorithm based on the Kalman filter and the least squares algorithm based on QR decomposition. An algorithm that minimizes the noise at the output of an antenna array is proposed on the basis of these two algorithms. The algorithm allows one to maintain a constant level of the received useful signal.

Keywords: phased array, adaptive algorithm, Kalman filter, recursive least squares method, QR decomposition.

UDC: 519.873

Received: 10.02.2016
Received in revised form: 26.02.2016
Accepted: 22.03.2016

Language: English

DOI: 10.17516/1997-1397-2016-9-2-258-267



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