基于循环谱对称性的新型频谱判决算法

New Spectrum Sensing Algorithm Based on Symmetry of Cyclic Spectral Correlation

采用循环平稳信号特性检测法能够更好地分辨出不同的调制信号,其对噪声具有很好的抑制,但在循环频谱工程上使用存在数据截断效应,它会降低频谱感知的检测概率,结合频谱已有的频谱搜索策略,提出了一种新的频谱判决算法,利用相对偏差、双门限和权重来对抗传统算法上方差的差值抖动问题。在使用FPGA搭建的硬件测试系统下,证明与传统算法相比,提出的算法大大提高了单节点的检测概率。

In cognitive radio, using cyclic stationary signal feature detection method can distinguish the different modulation signal, and it has good noise suppression. However, the data truncation effect exists on the use of cyclic spectrum engineering, and it can reduce detection probability of the spectrum sensing, combined with spectrum search strategy. A new spectrum decision algorithm is proposed to against the traditional algorithms jitter vari- ance by using the relative bias, dual-threshold and the weight. In FPGA hardware test system, the results prove that compared with the traditional algo- rithms, the proposed algorithm greatly improves the detection probability of a single node.