论文标题
基于普通微分方程的MIMO系统的MMSE信号检测
MMSE Signal Detection for MIMO Systems based on Ordinary Differential Equation
论文作者
论文摘要
本文提出了基于普通微分方程的多输入多输出（MIMO）系统的连续时间最小平方误差估计，以节能模拟计算和连续时间处理的新兴技术进行动机。平均平方误差（MSE）是MIMO系统估计方法的主要检测性能度量。我们得出一个分析的MSE公式，该公式随时指示MSE。所提出的方法的MSE取决于影响MSE收敛属性的正规化参数。此外，我们通过使用时间依赖性正则参数来实现更好的收敛性能来扩展提出的方法。数值实验表明，由于使用时间依赖性参数的使用，与理论值和收敛性能的改善有着极好的一致性。
Motivated by emerging technologies for energy efficient analog computing and continuous-time processing, this paper proposes continuous-time minimum mean squared error estimation for multiple-input multiple-output (MIMO) systems based on an ordinary differential equation. Mean squared error (MSE) is a principal detection performance measure of estimation methods for MIMO systems. We derive an analytical MSE formula that indicates the MSE at any time. The MSE of the proposed method depends on a regularization parameter which affects the convergence property of the MSE. Furthermore, we extend the proposed method by using a time-dependent regularization parameter to achieve better convergence performance. Numerical experiments indicated excellent agreement with the theoretical values and improvement in the convergence performance owing to the use of the time-dependent parameter.
