基于双门限能量检测的认知车联网协作频谱感知

为了解决认知车联网环境下无线频谱资源短缺的问题，提出一种基于双门限能量检测的认知车联网协作频谱感知方法。该方法在单门限值的基础上引入范围内车辆数改进为双门限值，设置双门限中间部分为不判决区域，舍弃了受到噪声严重干扰而落在不判决区域的车辆次用户本地判决结果，达到增加次用户频谱感知成功率的目的，从而提高频谱利用率。仿真实验结果证明，提出的频谱感知方法可以在不同车辆密度、信噪比条件下有效提高频谱检测概率。

Cognitive vehicle network cooperative spectrum sensing based on double threshold energy detection

In order to solve the problem of shortage of wireless spectrum resources in cognitive car networking environment, this paper proposed a cognitive vehicle network cooperative spectrum sensing method based on double threshold energy detection. The method improved the number of vehicles in the range based on the single threshold to the double threshold, set the middle of the double threshold as the non-decision area, and discarded the local judgment of the vehicle secondary user that was seriously interfered by noise and fell in the non-judgment area. It achieved the purpose of increasing the spectrum awareness success rate of the secondary users, thereby improved the spectrum utilization. The simulation results show that the proposed method can effectively improve the spectrum detection probability under different vehicle density and SNR conditions.