论文标题
基于模型的渠道图表方法
Model-Based Approaches to Channel Charting
论文作者
论文摘要
我们提出了采用基于模型的方法生产频道图[1]的新方法。我们通过使用我们的算法（ISQ）算法（ISQ）算法，线性回归（LR）算法和音乐/音乐（MMM）algorithm的根本和，估计基站和用户设备之间的距离RHO的距离和用户设备之间的距离RHO的距离。我们将这些方法与通道图表算法主成分分析（PCA），Sammon的方法（SM）和AutoCododer（AE）[1]进行比较。我们显示ISQ，LR和MM在性能中超过PCA，SM和AE。我们还将我们的算法MM与文献中使用音乐算法共同使用Theta和Rho上的音乐算法进行了比较。我们将此算法称为JM算法。 JM的性能比MM好一些，但复杂性大幅增加。最后，我们介绍了与MM和JM算法大致相同的性能的旋转和-SUM（RS）算法。与音乐不同，RS不使用特征值和特征向量分析。因此，它更适合直接登记转移逻辑（RTL）实现。
We present new ways of producing a channel chart [1] employing model-based approaches. We estimate the angle of arrival theta and the distance rho between the base station and the user equipment by employing our algorithms, inverse of the root sum squares of channel coefficients (ISQ) algorithm, linear regression (LR) algorithm, and MUSIC/MUSIC (MM) algorithm. We compare these methods with the channel charting algorithms principal component analysis (PCA), Sammon's method (SM), and autoencoder (AE) [1]. We show that ISQ, LR, and MM surpass PCA, SM, and AE in performance. We also compare our algorithm MM with an algorithm from the literature that uses the MUSIC algorithm jointly on theta and rho. We call this algorithm the JM algorithm. JM performs very slightly better than MM but at a substantial increase in complexity. Finally, we introduce the rotate-and-sum (RS) algorithm which has about the same performance as the MM and JM algorithms. Unlike MUSIC, RS does not employ eigenvalue and eigenvector analysis. Thus, it is more suitable for direct register transfer logic (RTL) implementation.
