基于精英反向学习群搜索算法的认知无线电协作频谱感知

Cooperation cognitive radio spectrum sensing based on elite opposition-based group search optimization

文章提出了一种基于精英反向学习群搜索算法的协同频谱感知方法,并与传统的群搜索算法感知进行了仿真比较,由于利用种群精英粒子本身携带的优良信息,并根据反向学习策略生成了新的精英种群,极大地优化了种群粒子的质量,增大了搜索的有效范围,在仿真结果中表现出了更好检测性能。

The paper proposes a method of cooperation cognitive radio spectrum sensing based on elite opposition-based group search optimization, in addition, compared to spectrum sensing based on traditional group search optimization, as the elite particles carry lots of helpful information, and they will generate a new population with opposition-based learning method, which optimize the quality of the population greatly, all of that also make hunting zone large and more effective, the simulation reflects better performance detection.