基于迭代用户选择的合作频谱感知算法

发布时间：2019-05-14 22:57

【摘要】：针对认知无线电中经典频谱感知算法(能量检测、算术几何平均、信号特征值子空间、最大特征值检测)存在不同程度缺陷的问题,为了进一步提高频谱感知算法的检测性能,提出了基于迭代用户选择(iterative user selection,IUS)的合作频谱感知算法。该算法先对参与合作感知的全部认知用户进行选择,然后在选出的部分用户频谱观测数据的基础上,生成全局检验统计量(global decision statistic,GTS),以此做出授权用户(primary user,PU)信号是否存在的全局判决。仿真结果显示,在虚警概率保持不变的情况下,进行迭代用户选择后,合作频谱感知的检测概率要优于未进行用户选择时的算法。与经典频谱感知算法相比较,IUS的合作频谱感知算法不需要任何先验信息,且以较少的频谱观测数据达到较好的检测性能。
[Abstract]:In order to further improve the detection performance of spectrum sensing algorithm, the classical spectrum sensing algorithm in cognitive radio (energy detection, arithmetic geometric average, signal eigenvalue subspace, maximum eigenvalue detection) has different defects. A cooperative spectrum sensing algorithm based on iterative user selection (iterative user selection,IUS is proposed. The algorithm first selects all the cognitive users involved in cooperative perception, and then generates the global test statistic (global decision statistic,GTS on the basis of the selected spectrum observation data of some users, so as to make the authorized user (primary user,. PU) the global decision whether the signal exists or not. The simulation results show that the detection probability of cooperative spectrum sensing is better than that of the algorithm without user selection under the condition that the false alarm probability remains unchanged and the iterative user selection is carried out. Compared with the classical spectrum sensing algorithm, the cooperative spectrum sensing algorithm of IUS does not need any prior information, and achieves better detection performance with less spectrum observation data.
【作者单位】：重庆邮电大学移动通信重点实验室;
【基金】：国家自然科学基金(61201205) 重庆市自然科学基金(cstc2012jjA40043) 重庆邮电大学博士启动基金(A2012-06)~~
【分类号】：TN925

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