基于软决策融合的CSS性能分析及优化  

CSS Performance Analysis and Optimization Based on Soft Decision Fusion

作　　者：韩晓丽[1] 李美玲[1] HAN Xiao-li;LI Mei-ling(Taiyuan University of Science and Technology,Taiyuan 030024,China)

机构地区：[1]太原科技大学,山西太原030024

出　　处：《机械工程与自动化》2024年第5期8-10,共3页Mechanical Engineering & Automation

基　　金：2021年度山西省自然科学研究面上项目(202203021211202)。

摘　　要：针对基于数据融合的软合并协作频谱感知占用通信资源较大问题,提出了一种基于软决策融合的协作频谱感知方案,推导了检测性能表达式,并基于NP准则给出了使检测率最大化的优化的协作频谱感知算法。分析和仿真结果表明:基于软决策融合的协作感知相比基于数据融合的协作感知可以有效节约系统资源;所提优化算法可以有效提高检测性能。Aiming at the problem that soft merge collaborative spectrum sensing based on data fusion occupies a large amount of communication resources,a collaborative spectrum sensing scheme based on soft decision fusion is proposed.This scheme derives the detection performance expression,and gives an optimized collaborative spectrum sensing algorithm based on the NP criterion to maximize the detection rate.Analysis and simulation results show that collaborative sensing based on soft decision fusion can effectively save system resources compared with collaborative sensing based on data fusion,and the proposed optimization algorithm can effectively improve detection performance.

关 键 词：协作频谱感知 衰落信道 软合并 软决策融合 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构] TN921[自动化与计算机技术—计算机科学与技术]