| 摘要: |
| 为了提高认知引擎的性能，更好地实现认知无线电系统参数的智能调整，设计了一
种混合认知引擎，综合运用多种人工智能方法实现认知引擎的推理、学习、优化和决策等功
能。分析了经典认知引擎模型和人工智能在认知引擎中的应用情况，构建了混合认知引擎的
功能结构框图，讨论了混合认知引擎的工作机理和技术特点。分析表明，混合认知引擎
具有较强的灵活性和鲁棒性。 |
| 关键词: 认知无线电 混合认知引擎 人工智能 |
| DOI： |
|
| 基金项目:解放军电子工程学院博士创新基金资助项目 |
|
| Design of Hybrid Cognitive Engine in Cognitive Radios |
| JIAO Chuan-hai,WANG Ke-ren,XU Yun |
| (PLA Electronic Engineering Institute, Hefei 230037, China) |
| Abstract: |
| To enhance the performance of cognitive engine (CE) and to better real
ize the intelligent parameters adjusting in cognitive radio(CR) system, a hybrid
cog
nitive engine (HCE) is designed by using multiple artificial intelligent methods
synthetically for reasoning, learning, optimization, decision, and so on. Class
ical CE models and artificial intelligence for CE are analysed. The HCE function
architecture block diagram is created, and the working mechanism and tech
nology characteristics of HCE are discussed. The analysis shows that HCE has st
rong agility and robustness. |
| Key words: cognitive radio(CR) hybrid cognitive engine(HCE) artificial intelligence |
《电讯技术》编辑部 