基于双门限能量检测的自适应协作频谱感知

针对认知无线电中传统单门限能量检测由于单一门限造成的低信噪比情况下容易误判从而导致错失频谱接入机会的不足,提出了一种基于双门限能量检测方法的自适应协作频谱感知模型.该模型以加性高斯白噪声信道模型为基础,由传统双门限能量检测方法改进而成,针对接收到的能量统计值的大小采用不同的判决方法,各个判决结果直接由所采用的判决方法决定.仿真结果表明,在较低信噪比条件下,与传统单门限能量检测模型相比,该自适应协作频谱感知模型具有更好的识别性能,随着用户数量的增加,识别性能更优.

Adaptive Cooperative Spectrum Sensing Based on Dual- threshold Energy Detection

Concerning the shortcoming of traditional single-threshold energy detection of Cognitive Radio system in losing Spectrum access opportunities in low signal-to-noise ratio caused by Single threshold, this paper introduced a new adaptive cooperative spectrum sensing module based on dual- threshold. The new module based on additive white Gaussian noise channel, improved by the traditional dual-threshold energy detection method. Different size of the energy statistical value used different decision method. Each verdict directly decided by the judgment. The simulation results indicate that compared to the conventional single-threshold energy detection, the new adaptive cooperative spectrum sensing module had better recognition performance especially the number of users increased.