【摘要】 为加快唐检测算法的检测速度,提出基于剔除门限的唐检测改进算法。利用噪声基底功率与信号功率之间相差较大的特点,设置合适的剔除门限,减少对噪声单元的检测次数。仿真结果表明,在检测概率几乎不变的情况下,可以使改进算法的平均检测次数少于唐检测算法,检测次数不受信号强度的影响;当信号不存在时,改进算法能够更快地剔除噪声单元。改进算法检测速度更快,避免了弱信号条件下检测次数过多的问题,适用于需要快速检测信号的场景。更多还原

【Abstract】 To speed up the detection speed of Tang detection algorithm,an improved Tang detection algorithm based on culling threshold was proposed.The characteristics of the difference between the noise floor power and the signal power were used using the improved algorithm to set the appropriate culling threshold,thus reducing the number of detection of the noise unit.Simulation results show that the average detection number of the improved algorithm can be less than that of the Tang detection algorithm when the detection probability is similar,and the number of detection is not affected by the signal strength.When the signal is not present,the noise unit can be removed more quickly using the improved algorithm.The improved algorithm not only fast detects but also avoids the problem of the number of times of detection under the condition of weak signal.The improved algorithm is suitable for the scene that needs to detect the signal quickly.更多还原