通信学报2026，Vol.47Issue(3)：1-14,14.DOI:10.11959/j.issn.1000-436x.2026059
基于时间累积的低信噪比智能频谱感知方法
Temporal accumulation-driven intelligent spectrum sensing method under low-SNR conditions
摘要
Abstract
To address the limitation of signal detection performance in low signal-to-noise ratio(SNR)scenarios of cogni-tive radio systems,a temporal-accumulation-driven intelligent spectrum sensing method that enabled effective sensing across different observation durations without retraining the model was proposed.For different types of intelligent sens-ing models,three time-accumulation strategies were developed,such as input-data accumulation,perception-model accu-mulation,and detection-statistic accumulation.Experimental results demonstrate that the proposed method can markedly improve detection performance under low SNR and exhibit strong robustness across intelligent spectrum sensing models with different input representations and under different channel conditions,further demonstrating the effectiveness and practical engineering potential of the proposed method.关键词
认知无线电/频谱感知/时间累积/人工智能Key words
cognitive radio/spectrum sensing/temporal accumulation/artificial intelligence分类
信息技术与安全科学引用本文复制引用
张陆鑫,郑仕链,齐佩汉,杨小牛..基于时间累积的低信噪比智能频谱感知方法[J].通信学报,2026,47(3):1-14,14.基金项目
国家自然科学基金资助项目(No.62171334) The National Natural Science Foundation of China(No.62171334) （No.62171334）
