Wireless Channel Scene Recognition Method Based on an Autocorrelation Function and Deep Learning

Wireless Channel Scene Recognition Method Based on an Autocorrelation Function and Deep Learning

Wireless channel scene recognition plays a key role in cognitive radio (CR) mobile communication systems. This paper proposes a wireless channel scene identification framework based on the autocorrelation function and deep learning. First, a feature extraction (FE) method is developed to perform a c...

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Bibliographic Details
Main Authors: Shuguang Ning, Yigang He, Lifen Yuan, Yuan Huang, Shudong Wang, Tongtong Cheng, Yongbo Sui
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Wireless channel
scene recognition
autocorrelation function
deep belief network (DBN)
Online Access:https://ieeexplore.ieee.org/document/9291405/

Internet

https://ieeexplore.ieee.org/document/9291405/

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