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Detection Scheme for MIMO Systems Based on Covariance Shaping Least Squares Estimator in Quantum signal processing

机译:基于协方差的MIMO系统的检测方案,基于协方差最小二乘估计量估计量子

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Covariance shaping least squares estimator is a new kind of linear estimator based on covariance shaping in quantum signal processing (QSP) framework. In this paper, we apply the covariance shaping least squares (CSLS) estimator to the detection of MIMO systems that leads to a new detection algorithm, covariance shaping MIMO detection algorithm. We derive the formalism of covariance shaping MIMO detection algorithm, and analyze its performance by numerical experiments. The results show that the performance of system is better than that of detection algorithm with Zero-forcing and MMSE solutions, and the objective covariance matrix plays an important role in the proposed scheme.
机译:协方差塑造最小二乘估计是一种基于量子信号处理(QSP)框架中的协方差的新型线性估计。在本文中,我们将协方差塑造最小二乘(CSLS)估计器应用于导致新检测算法,协方差的MIMO系统,协方差地形成MIMO检测算法。我们推出了协方差塑造MIMO检测算法的形式主义,并通过数值实验分析其性能。结果表明,系统的性能优于零强制和MMSE解决方案的检测算法的性能,目标协方差矩阵在所提出的方案中起着重要作用。

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