基于能量和小波变换的双门限联合频谱感知

发布时间：2018-04-11 22:15

本文选题：联合检测 + 小波变换　；参考：《北京邮电大学学报》2017年04期

【摘要】：传统的能量感知算法对噪声比较敏感,在较低的信噪比条件下检测准确性易受到影响,循环特征检测法计算复杂度偏高,为此提出了基于能量检测和小波变换(WT)感知的双门限联合检测算法.该算法对双门限区间以外的区域采用能量检测进行判定,双门限范围内的不确定区域进行小波感知,并根据信道中噪声不确定性自适应调整双门限值,当信道质量较好时,减小两门限之间的距离,否则增大两门限之间的距离,从而控制进行小波感知的概率.仿真结果表明,此算法有效地提高了低信噪比条件下系统的检测性能,降低了算法的复杂度.
[Abstract]:The traditional energy sensing algorithm is sensitive to noise, and the accuracy of detection is easy to be affected under the condition of low signal-to-noise ratio, and the computational complexity of cyclic feature detection is on the high side.A dual threshold joint detection algorithm based on energy detection and wavelet transform WT-sensing is proposed.In this algorithm, energy detection is used to determine the region outside the double threshold, and the uncertain region in the range of double threshold is sensed by wavelet, and the double threshold value is adjusted adaptively according to the noise uncertainty in the channel. When the channel quality is better,The distance between the two thresholds is reduced or the distance between the two thresholds is increased to control the probability of wavelet sensing.The simulation results show that the proposed algorithm can effectively improve the detection performance and reduce the complexity of the system under the condition of low signal-to-noise ratio (SNR).
【作者单位】：北京邮电大学电子工程学院;河南理工大学计算机科学与技术学院;
【基金】：国家自然科学基金项目(60872149) 河南省科技攻关项目(172102210023)
【分类号】：TN925

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