A Multi-Feature Spectrum Sensing Algorithm Based on GRU-AM

doi:10.1109/LWC.2025.3564053

2025-07-01

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DOI：10.1109/LWC.2025.3564053

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认知无线电（CR）中，频谱感知旨在检测频率范围内的未使用频谱以供利用。然而，通信环境的复杂性和多样性使该检测任务具有挑战性。本文提出了一种方法，该方法首先从信号中提取多个特征，然后集成门控循环单元（GRU）和注意力机制（AM），旨在提高频谱感知的准确性和鲁棒性。实验结果表明，该方法表现出良好的感知性能，特别是在低信噪比（SNR）条件下增强了准确性，显著有助于提高频谱利用效率。此外，其计算复杂度较低。

Keyword:

spectrum sensing

multiple features

GRU

attention mechanism

期刊

IEEE Wireless Communications

IF:

11.5

论文数:

2.8K

被引数:

1.3W

机构

Western University

学者数:

1.3K

论文数: 719

被引数: 24

northwest normal university

学者数:

1.8K

论文数: 535

被引数: 0

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