Toward Higher Performance for Channel Estimation With Complex DnCNN

Volume: 24, Issue: 1, Pages: 198 - 201
Published: Jan 1, 2020
Abstract
In the letter, we propose to estimate uplink channel in urban 3-D MIMO systems utilizing denoising convolutional neuron networks (DnCNNs), which is recently proposed and has succeeded in tackling with image denoising tasks in computer vision. To process the complex numbers in channel estimation (CE), based on complex DnCNN (CDnCNN), a variant of DnCNN, we propose the simplified DnCNN (S-DnCNN) CE. S-DnCNN CE includes two major parts. In the...
Paper Details
Title
Toward Higher Performance for Channel Estimation With Complex DnCNN
Published Date
Jan 1, 2020
Volume
24
Issue
1
Pages
198 - 201
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