基于时间累积的低信噪比智能频谱感知方法OA

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.