首页|Robust Deep Pilot-Free Equalization Network Under Time-Varying Channels

Robust Deep Pilot-Free Equalization Network Under Time-Varying Channels

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As a key technology to recover transmitted symbols without any prior information of the incoming signals, pilot-free equalization (PE) has gained widespread attention from researchers. However, conventional PE algorithms often assume a constant or slowly varying channel, limiting their effectiveness in rapidly changing environments. In this letter, we propose a transformer-based deep PE network specifically designed for time-varying channels. To compensate for carrier frequency offsets (CFOs), we incorporate an adaptive parameter correction module. Moreover, the network implements a pre-extractor to capture multi-scale channel features, enabling it to handle time-varying conditions effectively. Simulations demonstrate that the proposed method achieves performance comparable to orthogonal frequency division multiplexing (OFDM) systems while significantly reducing pilot overhead.

SymbolsOFDMChannel estimationTransformersTime-varying channelsFeature extractionTrainingDemodulationConvolutionKernel

Rui Zeng、Zhilin Lu、Jinbo Tan、Jintao Wang、Jian Wang

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Department of Electronic Engineering, Tsinghua University, Beijing, China

Laboratory for High Technology, Tsinghua University, Beijing, China

2025

IEEE communications letters

IEEE communications letters

ISSN:
年,卷(期):2025.29(5)
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