高阶循环特性下联合频谱感知算法研究

Joint Spectrum Sensing Algorithm Based on High Order Cyclic Feature

高效的频谱感知算法是认知无线电系统有效通信的前提;现有的能量检测算法复杂度较低,但其性能易受到噪声不确定度的严重影响,为提高频谱感知的速度和性能,采用了联合频谱感知算法;该方法利用双门限的能量检测法进行粗检,将判决结果划为三个区域,并使用高阶循环统计量检测算法对中间混淆区域进行二次判决;然后给出了噪声确定或不确定的情况下,联合频谱感知算法和单一检测算法的检测性能和算法复杂度的仿真分析;结果表明,联合频谱感知算法在增加计算复杂度不多情况下,得到较高的检测性能,优于单一检测算法,是一种快速准确的频谱感知算法。

Efficient spectrum sensing algorithm is the premise of cognitive radio communication systems. Energy detector which has low computational complexity is the most common way, but its performance will experience a significant loss under a small noise fluctuation. In order to improve the speed and performance, we use joint spectrum sensing algorithm. With dual--threshold energy detection for the primary hand, it will be zoned into three areas. Then high order cyclostationary detection for the confused area. We simulate performance and compu- tational complexity of these algorithms under noise certain or uncertainty. Comparing these results, it show that the joint spectrum sensing algorithm is a fast and accurately spectrum sensing algorithm, which has a high detection performance under a small increase in complexity.