认知无线电中能效优先的频谱感知算法研究

摘要

Spectrum sensing is one of the key technologies in cognitive radio(CR).An energy-efficient spectrum sensing algorithm based on sensing performance is investigated to reduce the spectrum sensing energy in cognitive radio.Firstly,the sensing energy consumption minimization is modeled.Then,the relationship between the target detection probability and the minimum sensing energy consumption is derived,and the minimum sensing energy consumption under the target detection probability is given.Finally,the algorithm is simulated in cognitive radio of single-channel and multi-channel and the simulation results validate the theoretical derivation.%频谱感知是认知无线电的关键技术之一.针对认知无线电中降低频谱感知能耗的问题,研究了在满足一定感知性能的前提下,能效优先的频谱感知算法.首先对感知能耗最小化问题进行了建模,然后推导出目标检测概率与最小感知能耗之间的关系,接着给出了在目标检测概率要求下的最小感知能耗,最后分别对单信道和多信道场景进行了仿真,仿真结果验证了理论推导的正确性.