摘要
针对传统能量检测算法存在虚警率高、判决门限值固定等问题,提出了一种自适应门限改进的增强型自适应频谱感知算法。该算法通过加入检测因子推导出在不同通信网络地理环境下的自适应门限阈值,动态地改善认知用户的检测性能。同时分析比较该算法与传统能量检测算法、自适应检测算法的检测性能,实验结果表明增强型自适应检测算法能有效提高频谱的检测性能,较好地提高整个认知无线电系统的检测性能。
Aiming at the problems of high false alarm rate and fixed threshold value in traditional energy detection algorithm, this paper proposes an adaptive threshold improved adaptive spectrum sensing algorithm. The algorithm improves the detection performance of the cognitive user dynamically by adding the detection factor to derive the adaptive threshold threshold in dif-ferent communication network geographical environment. At the same time, the detection performance of proposed algorithm is compared with the traditional energy detection algorithm and adaptive detection algorithm. The experimental results show that the enhanced adaptive detection algorithm can effectively improve the performance of spectrum detection and improve the performance of the whole cognitive radio system.
出处
《信息通信》
2017年第10期10-13,共4页
Information & Communications
基金
国家自然科学项目资助项目(No.61561039)
宁夏自然科学基金研究项目(No.NZ14045)
关键词
频谱感知技术
能量检测
自适应
spectrum sensing technology
energy detection
adaptive
