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中文摘要：
快速准确的频谱感知是认知无线电系统有效通信的前提。现有的能量检测算法易受噪声波动影响,为提高频谱感知的性能,采用了联合频谱感知算法。方法利用双门限的能量检测法进行粗检,并使用协方差检测算法对中间混淆区域进行二次判决。在噪声不确定的情况下,对联合频谱感知算法性能进行了仿真分析。仿真结果表明,在噪声波动较大时,算法有效地提高频谱检测的性能,而且计算复杂度得到降低,并优于能量检测法和协方差检测法。
英文摘要：
Spectrum sensing fast and accurately is the premise of cognitive radio communication systems.Energy detector is the most common way,but its performance will experience a significant loss under a small noise fluctuation.To address this problem,we proposed a collaborative detection algorithm.With dual-threshold energy detection for coarse knowledge of the primary band,proceed the covariance absolute value detection for the confused area.The simulation results show that the joint spectrum sensing detection can improve the detection performance under noise uncertainty,and the total computational complexity will be reduced compare to covariance absolute value detection.
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