Many archival photos are unique, existed only in a single copy. Some of them are damaged due to improper archiving (e.g. affected by direct sunlight, humidity, insects, etc.) or have physical damage resulting in the a...
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Frequency scarcity implies the utilization of higher frequencies for wireless communications; however, spreading loss becomes a dominating issue as the frequency increases to the level of and beyond millimeter waves. ...
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ISBN:
(纸本)9781665454698
Frequency scarcity implies the utilization of higher frequencies for wireless communications; however, spreading loss becomes a dominating issue as the frequency increases to the level of and beyond millimeter waves. To this end, massive multiple-input multiple-output structures introduce mitigation alternatives. However, to make these solutions possible, the channel estimation approach strives to be modified: since Rayleigh distance is very short for conventional systems, the only far-field channel is examined in that context. On the other hand, the implementation of massive antenna arrays in high frequencies increases Rayleigh distance; thus, both near-field and far-field analyses become necessary. Instead of a dual estimation process, it would be effective and efficient to develop hybrid-field channel estimation techniques. Therefore, in this study, a new channel estimation method which is based on convolutional autoencoder (CAE) and orthogonal matching pursuit (OMP) approach, is proposed for hybrid channel estimation. The results indicate that the proposed OMP-CAE method has much better error performance when compared to the conventional OMP algorithm, especially at low signal-to-noise ratio regimes.
作者:
Yessad, DalilaAmrouche, AbderrahmaneFaculty of Sciences and Technology
Abdelhafid Boussouf University Mila43000 Algeria LASS
Analysis of Signals and Systems Lab Faculty of Technology Mohamed Boudiaf University P.O. Box 166 Msila28000 Algeria LCPTS
Speech Communication and Signal Processing Lab Faculty of Electronics and Computer Sciences USTHB P.O. Box 32 El Alia Bab Ezzouar Alger16111 Algeria
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