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认知无线电作为一种智能的无线电通信技术,其智能主要来自于认知引擎。认知引擎基于软件无线电平台设计,以软件无线电平台为基础,通过引入智能算法实现感知功能、学习功能和自适应参数调整功能。本文针对认知无线电中认知引擎相关技术开展研究。在简要介绍了现有的两种认知引擎模型后,对认知引擎中的多目标优化问题进行了阐述,最后分别采用遗传算法和粒子群算法对认知引擎行了优化仿真,并对仿真结果进行了分析。
Cognitive radio as a kind of intelligent radio communication technology, its intelligence mainly comes from the cognitive engine. Cognitive engine is based on software radio platform design, and based on software radio platform, cognitive function, learning function and adaptive parameter adjustment function are introduced by introducing intelligent algorithm. In this paper, cognitive radio cognitive cognitive engine technology related to carry out research. After a brief introduction of two existing cognitive engine models, the multi-objective optimization problem in cognitive engine is elaborated. At last, genetic algorithms and particle swarm optimization are respectively used to optimize the cognitive engine, and the simulation The results were analyzed.