This letter investigates the performance of energy detector with multiple antennas in cognitive vehicular networks, where the sensing signals of the secondary user are temporally correlated. A novel analytical method, based on new results of confidence interval estimation for auto-correlated matrix in random matrix theory, is proposed to estimate the miss detection probability. The estimate accuracy is verified via simulations. Based on such results, the impacts of signal temporal correlation on sensing performance and decision threshold are analyzed.

中文翻译：

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具有时间信号相关性的多天线能量检测器在认知车辆网络中的传感性能

这封信研究了认知车辆网络中具有多个天线的能量检测器的性能，其中次级用户的感测信号在时间上是相关的。基于随机矩阵理论中自相关矩阵置信区间估计的新结果，提出了一种新的分析方法来估计漏检概率。通过模拟验证估计的准确性。基于这些结果，分析了信号时间相关性对感知性能和决策阈值的影响。