A Recursive Algorithm for Estimating the Correlation Matrix of the Interference Based on the QR Decomposition

V. N. Tyapkin, D. Dmitriev, A. Gladyshev, P. Y. Zverev, Валерий Николаевич Тяпкин, Дмитрий Дмитриевич Дмитриев, Андрей Борисович Гладышев, Пётр Ю. Зверев
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Abstract

Abstract. 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.
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基于QR分解的干扰相关矩阵递推估计算法
摘要数字信号处理的许多任务都需要实时实现矩阵运算。这些是矩阵反演或求解线性代数或微分方程组(卡尔曼滤波)的操作。在可编程逻辑器件(fpga)上实现数字信号处理的过渡,通常涉及基于具有定点的数字表示的计算。这使得基于传统计算方法解决时空处理问题实际上是不可能的。本文讨论了利用QR分解实现卫星宽带系统的时空信号处理算法。提出了在收缩算法中结合使用循环QR分解所需的CORDIC计算技术。
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