摘要
随着无线电通信技术的飞速发展和频段覆盖密度的增加,无线电测向和定位技术得到更深层次的应用。研究表明,认知无线电环境下的发射功率、信干噪比和系统性能之间存在互相制约的关系。从效用函数和相应的功率控制角度进行了非共享机制算法的设计,改进了价格函数;选取了合适功率水平的算法。实验结果表明:高斯白噪声情况下的算法收敛效果较好。算法对比看出,新算法有最低信干噪比的保障,保护了认知无线电用户的通信质量。各个认知无线电用户收敛时的信干噪比可以根据外部环境灵活调整,使系统资源利用率得到提高。
With the rapid development of radio communication technology and the increase of spectrum density, radio direction finding and location technology gets wide application. However, studies have shown that the transmission power of cognitive radio environment, dry letter to noise ratio and mutual restriction relations between the system performance are important for the technology. In this paper,from the viewpoint of the utility function and the corresponding power control sharing mechanism, a new algorithm is designed by improving the price function and selecting the appropriate power level. The experimental results show that the algorithm is convergent under Gaussian white noise. By comparison,the new algorithm has the lowest drying ratio, can protect the communication quality of radio users. The ratio can be adjusted according to the external environment, so it makes the system resource utilization be improved.
出处
《实验室研究与探索》
CAS
北大核心
2017年第12期29-32,共4页
Research and Exploration In Laboratory
基金
国家自然科学基金专项项目(90254650)
吉林省教育厅"十二五"科学技术研究项目(吉教科合字[2014]第444号)