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Neural Network-Assisted CLEAN for Channel Modeling in Low-SNR Regimes

arXiv cs.LG · 2026-07-31 缓存

This paper proposes NN-CLEAN, a hybrid framework that embeds a multi-head residual network into the iterative CLEAN extraction loop for efficient multipath parameter estimation in low-SNR channel modeling. It matches traditional Grid-Search CLEAN accuracy while greatly reducing computational complexity and enabling parallelization for real-time MIMO systems.

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