Deep Learning Based on Orthogonal Approximate Message Passing for CP-Free OFDM

4 May 2019 Jing Zhang Hengtao He Chao-Kai Wen Shi Jin Geoffrey Ye Li

Channel estimation and signal detection are very challenging for an orthogonal frequency division multiplexing (OFDM) system without cyclic prefix (CP). In this article, deep learning based on orthogonal approximate message passing (DL-OAMP) is used to address these problems... (read more)

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