提出了一种基于信号相关性的模拟电视信号检测算法,根据信号相关性对功率谱分布密度函数的影响,采用中心频率分量作为观测统计量,以提高对模拟电视信号的检测性能.从理论上分析了该算法在信号完全相关情况下的检测概率和虚警概率,讨论了该算法的复杂度以及在一定虚警概率情况下的门限参数如何确定的问题,并利用IEEE 802.22工作组公布的实际电视信号和根据逐行倒相(PAL)制式全电视信号格式仿真的电视信号对该算法进行了仿真.仿真结果显示,在两种电视信号中,本文提出的基于信号相关性的检测算法检测性能明显优于传统的能量检测算法.
A spectrum sensing algorithm based on signal correlation for analog television (TV) signals is developed. According to the relationship between the signal correlation and the power spectrum density (PSD) function, the central spectrum component of PSD function is adopted as the observation statistics to improve the sensing performance. The detection probability and false alarm probability of the proposed algorithm are analyzed theoretically when the primary signals are fully correlated. The complexity and threshold for the algorithm under a certain false alarm probability are discussed. Finally, the sensing performance of our proposed algorithm is simulated in both real captured TV signals provided by IEEE 802.22 working group and analog TV signals generated in computer according phase alternating line (PAL) TV signal format. Simulation results show that the achieved sensing performance is significantly superior to that of the energy detection for both TV signals.