Telecommunications Department, Polytechnic University of Bucharest, 061071 Bucharest, Romania.
Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA 23529, USA.
Sensors (Basel). 2020 Jun 27;20(13):3614. doi: 10.3390/s20133614.
Implementation of dynamic spectrum access (DSA) in cognitive radio (CR) systems requires the unlicensed secondary users (SU) to implement spectrum sensing to monitor the activity of the licensed primary users (PU). Energy detection (ED) is one of the most widely used methods for spectrum sensing in CR systems, and in this paper we present a novel ED algorithm with an adaptive sensing threshold. The three-event ED (3EED) algorithm for spectrum sensing is considered for which an accurate approximation of the optimal decision threshold that minimizes the decision error probability (DEP) is found using Newton's method with forced convergence in one iteration. The proposed algorithm is analyzed and illustrated with numerical results obtained from simulations that closely match the theoretical results and show that it outperforms the conventional ED (CED) algorithm for spectrum sensing.
在认知无线电（CR）系统中实现动态频谱接入（DSA）需要未授权的次用户（SU）执行频谱感知以监测授权的主用户（PU）的活动。能量检测（ED）是 CR 系统中最广泛使用的频谱感知方法之一，在本文中，我们提出了一种具有自适应感测门限的新型 ED 算法。考虑了用于频谱感知的三事件 ED（3EED）算法，使用牛顿法在一次迭代中强制收敛来找到最小化决策错误概率（DEP）的最优决策门限的精确逼近。对所提出的算法进行了分析，并通过仿真得到的数值结果进行了说明，该结果与理论结果非常吻合，表明它在频谱感知方面优于传统的 ED（CED）算法。
