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Matrix decompositions for precoding and equalization of MIMO channel with ISI

机译:使用ISI对MIMO信道进行预编码和均衡的矩阵分解

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This paper sets out a modification of algorithms for calculation QR and SVD decomposition of polynomial matrix into matrix with elements in the form of rational functions, which is equivalent to the use of IIR, instead of FIR filters in the suitable procedures of processing and generation of the signal. The proposed approach can reduce calculating cost of decomposition procedure and further signal processing, primarily by reducing the degree of polynomials, which form the elements of the resultant matrix, which is equivalent to the reduction of memory interval of virtual subchannels. This method is based on the polynomial version of QR algorithm and the procedure of Bauer factorization.
机译:本文提出了一种算法的改进,用于将多项式矩阵的QR和SVD分解计算为有理函数形式的元素的矩阵,这等效于使用IIR代替FIR滤波器进行适当的处​​理和生成。信号。所提出的方法可以减少分解过程的计算成本和进一步的信号处理,主要是通过减少形成结果矩阵元素的多项式的次数,这等效于减少虚拟子通道的存储间隔。该方法基于QR算法的多项式和Bauer分解的过程。

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