Сибирский федеральный университет

Тип публикации: статья из журнала

Год издания: 2020

Идентификатор DOI: 10.17516/1997-1397-2020-13-2-160-169

Ключевые слова: phased antenna array, adaptive algorithms, Kalman filter, recursive least squares algorithm (RLS), QR decomposition, systolic algorithm

Аннотация: Many tasks of digital signal processing require the implementation of matrix operations in real time. These are operations of matrix inversion or solving systems of linear algebraic or differential equations (Kalman filter). The transition to the implementation of digital signal processing on programmable logic device (FPGAs), as a rule, involves calculations based on the representation of numbers with a fixed point. This makes solving spatio-temporal processing problems practically impossible based on conventional computational methods. The article discusses the implementation of spatial-temporal signal processing algorithms in satellite broadband systems using QR decomposition. The technologies of CORDIC computations required for recurrent QR decomposition when used together in systolic algorithms are presented.

Журнал: JOURNAL OF SIBERIAN FEDERAL UNIVERSITY-MATHEMATICS & PHYSICS

Выпуск журнала: Vol. 13, Is. 2

Номера страниц: 160-169

Место издания: KRASNOYARSK

Издатель: SIBERIAN FEDERAL UNIV

• Tyapkin Valery N. (Siberian Fed Univ, Krasnoyarsk, Russia)
• Dmitriev Dmitry D. (Siberian Fed Univ, Krasnoyarsk, Russia)
• Gladyshev Andrey B. (Siberian Fed Univ, Krasnoyarsk, Russia)
• Zyerev Peter Yu. (Siberian Fed Univ, Krasnoyarsk, Russia)

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