The research addresses the problem of analytical description of energy detection procedure being one of the most favourable mechanism of white-space detection for cognitive radio and Internet-of-Things as well as unknown signal detection in radars and Unmanned Ground/Aerial Vehicle applications. A novel closed-form analytic solutions for average quality metrics (average receiver operating characteristic and area under the AROC curve) are derived for a generic shadowed fading $\kappa -\mu$ channel model. Numerical simulations verify the computational effectiveness of the derived expressions compared to straightforward numerical integration and analytical treatment demonstrated their consistency with the several specific simplified cases widely used in engineering practice. The results enable one to estimate signal detection quality on the stage of wireless communications' system design.

该研究解决了能量检测程序的分析描述问题，它是认知无线电和物联网以及雷达和无人驾驶地面/空中车辆应用中的未知信号检测的最有利的空白检测机制之一。对于一般的阴影衰落，推导出了平均质量度量（平均接收器操作特性和 AROC 曲线下的面积）的新型封闭式解析解$\kappa -\mu$渠道模式。与直接的数值积分和分析处理相比，数值模拟验证了导出表达式的计算有效性，证明了它们与工程实践中广泛使用的几个特定简化案例的一致性。结果使人们能够在无线通信系统设计阶段对信号检测质量进行评估。