1. 110–170 GHz On-Chip Calibration Using Deep Neural Networks
- Author
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Cai, Haowen, Hu, Sanming, Huang, Xinge, and Shen, Yizhu
- Abstract
For millimeter-wave (mmWave) integrated circuits, an on-chip calibration method with high accuracy is crucial. For accurate calibration, this paper proposes a thru-reflect-line neural network (TRL-NN), by incorporating machine learning techniques into the classical thru-reflect-line (TRL) calibration method. Compared with conventional TRL, the proposed TRL-NN demonstrates enhanced accuracy. The TRL-NN utilizes deep neural networks (DNNs) to predict
$S$ - Published
- 2024
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