论文标题
瑞利褪色通道中的基于PCA的天线阻抗估计
PCA-based Antenna Impedance Estimation in Rayleigh Fading Channels
论文作者
论文摘要
接收天线和前端之间的阻抗匹配会显着影响无线通道中的通道容量。为了实现容量最佳匹配，接收器必须知道天线阻抗。但是通常，这种阻抗随近场天线中的负载条件而变化。为了减轻这种变化，几位作者提出了天线阻抗估计技术。但是，这些技术的最优性尚不清楚。在本文中，我们考虑了在相关的瑞利褪色通道上，在误虫接收器上进行天线阻抗估计。 我们以I.I.D.下的最佳ML估计量进行封闭形式。褪色，然后证明可以通过标量优化在一般相关的褪色通道中找到。数值结果表明一种计算高效的主体组件方法，用于实时估计所有瑞利褪色通道的天线阻抗。此外，使用我们提出的方法，可以在适应性匹配的情况下，在最初匹配的接收器最初匹配的接收器上可以显着提高偏僻的能力。
Impedance matching between receive antenna and front-end significantly impacts channel capacity in wireless channels. To implement capacity-optimal matching, the receiver must know the antenna impedance. But oftentimes this impedance varies with loading conditions in the antenna near-field. To mitigate this variation, several authors have proposed antenna impedance estimation techniques. However, the optimality of these techniques remains unclear. In this paper, we consider antenna impedance estimation at MISO receivers over correlated Rayleigh fading channels. We derive in closed-form the optimal ML estimator under i.i.d. fading and then show it can be found via a scalar optimization in generally correlated fading channels. Numerical results suggest a computationally efficient, principal-components approach that estimates antenna impedance in real-time for all Rayleigh fading channels. Furthermore, ergodic capacity can be significantly boosted at originally poorly matched receivers with adaptive matching using our proposed approach.
