English(EN) Pre-Whitening and BCJR Posterior Distillation for Bi-LSTM Detection in Faster-than-Nyquist Signaling

双向长短期记忆网络在超奈奎斯特信号方面得到增强

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-10 04:00

研究人员开发了一种新方法，利用双向长短期记忆（Bi-LSTM）网络来提高超奈奎斯特（FTN）信号传输中的误比特率（BER）。他们的研究发现，虽然嵌套 ISI 窗口等架构更改并未显著提高性能，但对输入进行预白化并将 BCJR 软后验信息蒸馏到 Bi-LSTM 中确实带来了显著的收益。这种方法在参数略有增加的情况下，在具有病态 ISI 矩阵的挑战性条件下，实现了显著的 BER 降低。 AI

影响这项研究通过提高信号检测的准确性，可能带来通信系统中更高效的数据传输。

排序理由详细介绍一种新信号处理方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

BCJR algorithm

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本文如何被排名

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报道来源 [1]

arXiv cs.LG TIER_1 English(EN) · Nurettin Safak, Osman Tokluoglu, Enver Cavus · 2026-09-10 04:00

用于更快奈奎斯特信号双向LSTM检测的预白化和BCJR后验蒸馏

arXiv:2609.07762v1 Announce Type: cross Abstract: Recurrent detectors such as bidirectional long short-term memory (Bi-LSTM) networks are low-complexity alternatives to the optimal Bahl-Cocke-Jelinek-Raviv (BCJR) detector for faster-than-Nyquist (FTN) signaling. Motivated by conv…

本文如何被排名

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用于更快奈奎斯特信号双向LSTM检测的预白化和BCJR后验蒸馏

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