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Use of upper triangular matrix tracking for complexity reduction in a linear ZF MIMO system

机译:使用上三角矩阵跟踪来降低线性ZF MIMO系统的复杂度

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This paper addresses the complexity problem associated with the QR decomposition algorithm, which is frequently used as a faster alternative to channel inversion in a MIMO scheme. Channel tracking can be employed with QR equalization in order to reduce the pilot overhead of a MIMO system in a non-stationary environment. QR decomposition is part of the QR equalization method and has to be performed in every instance that the channel estimate is obtained. The high rate of the QR decomposition, a computationally intensive technique, results in a high computational complexity per symbol. Some novel modifications are proposed to address this problem. Reducing the repetition rate of QR decompositions and tracking R (the upper triangular matrix) directly, while holding unitary matrix Q fixed, can significantly reduce complexity per symbol at the expense of some introduced error.
机译:本文解决了与QR分解算法相关的复杂性问题,QR分解算法经常被用作MIMO方案中信道反转的更快替代方案。信道跟踪可以与QR均衡一起使用,以减少非平稳环境中MIMO系统的导频开销。 QR分解是QR均衡方法的一部分,在获得信道估计的每个实例中都必须执行QR分解。 QR分解的高速率是一种计算密集型技术,导致每个符号的计算复杂性高。提出了一些新颖的修改来解决这个问题。在固定unit矩阵Q不变的同时,降低QR分解的重复率并直接跟踪R(上三角矩阵),可以显着降低每个符号的复杂度,但会带来一些引入的误差。

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