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基于软决策融合的CSS性能分析及优化

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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.
CSS Performance Analysis and Optimization Based on Soft Decision Fusion
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.

cooperative spectrum sensingfading channelsoft combinationsoft decision fusion

韩晓丽、李美玲

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太原科技大学,山西 太原 030024

协作频谱感知 衰落信道 软合并 软决策融合

2021年度山西省自然科学研究面上项目

202203021211202

2024

机械工程与自动化
山西省机电设计研究院 山西省机械工程学会

机械工程与自动化

影响因子:0.251
ISSN:1672-6413
年,卷(期):2024.(5)
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