Estimation of Cellular Wireless User Coordinates via Channel Charting and MUSIC
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Estimation of Cellular Wireless User Coordinates via Channel Charting and MUSIC

Abstract

We present a new way of producing a channel chart in polar coordinates. We estimatethe angle of arrival θ and the distance between the base station and the user equipment ρ by employing our algorithms, inverse of the root sum squares of channel coefficients (ISQ) algorithm, linear regression (LR) algorithm, and the MUSIC/MUSIC (MM) algorithm. We compare these methods with the channel charting algorithms principal component analysis (PCA), Samson’s method (SM), and autoencoder (AE). We show that ISQ, LR, and MM outperform all three in performance. The performance of MM is much better than LR and ISQ in LOS channel conditions. MM has better performance than ISQ and LR but is more complex. ISQ and LR have similar performance with ISQ having less complexity than LR.

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