Robust deep learning-based end-to-end receiver for OFDM system with non-linear distortion

• المؤلفون الرئيسيون: Xie, Yihang, Liu, Xiaobei, Teh, Kah Chan, Guan, Yong Liang
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2025
• الموضوعات: Engineering; Clipping ratio; Non-linear distortion
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/182830

In this letter, we propose a deep learning-based receiver named one-dimensional transmit and recovery net (1D-TRNet), which is robust to non-linear clipping distortion for orthogonal frequency-division multiplexing (OFDM) systems. The proposed scheme uses a 1D U-shape structure with multiple gated r...