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针对传统的能量检测算法门限固定设置存在的不足,以及循环平稳特征检测算法计算复杂度高的缺点,以双门限能量检测算法为基础,提出一种联合循环平稳特征检测的双门限能量检测算法.本算法在双门限区域内实施循环平稳特征检测,双门限之外的区域采用能量检测,同时根据信道状态自适应调整双门限值.当信道状态好时,减小两个门限之间的距离,即减小实施循环平稳特征检测的概率,降低运算复杂度;当信道状态差时,增大两个门限之间的距离,即增大循环平稳特征检测的概率来保证良好的检测性能.仿真结果表明,在一定条件下,该算法能有效提高频谱检测性能,降低运算复杂度.
Aiming at the shortcomings of the traditional threshold setting method of energy detection algorithm and the high computational complexity of the cyclic stationary feature detection algorithm, a double threshold energy detection algorithm based on the dual threshold energy detection algorithm is proposed. The algorithm performs cyclostationary feature detection in the double-threshold area, energy detection in the area other than the double threshold, and adaptively adjusts the double threshold according to the channel state. When the channel state is good, the distance between the two thresholds is reduced , Which reduces the probability of implementing cyclic stationary feature detection and reduces the computational complexity. When the channel state is poor, the distance between the two thresholds is increased, ie, the probability of cyclic stationary feature detection is increased to ensure good detection performance. The results show that under certain conditions, the algorithm can effectively improve the performance of spectrum detection and reduce the computational complexity.