基于协方差理论的信号检测改进算法

An improved signal detection algorithm based on covariance

为了克服能量检测算法易受信噪比不确定性影响的缺点,采用协方差检测算法进行信号检测,对算法检测阈值进行优化,提出一种基于检测误差最小的改进的协方差算法。改进的协方差检测算法不仅克服了能量检测算法的缺点,并且相比协方差检测算法,该算法在低信噪比下检测性能有所改善。仿真结果表明,在-20dB低信噪比条件下,改进算法的检测概率能提高20%左右。

Energy detection algorithm is easy to be influenced by the noise uncertainly,so the covariance detection algorithm is adopted to detect signals,then the threshold is optimized,an improved algorithm is proposed based on the minimum detection error.The improved algorithm can not only overcome the disadvantages of energy detection algorithm,but also improve the detection performance compared with covariance detection algorithm.The simulation results show that the detection probability of the improved algorithm increases 20% when SNR is-20 dB.