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针对现有频谱检测算法无法解决不同信道之间的噪声基底差异问题,提出了基于形态学运算的信道检测算法。该算法首先利用形态学运算对信道噪声基底进行估计,并将其减去,消除了复杂噪声背景的影响;然后,采用能量检测算法确定检测门限,实现子带信号的检测。仿真结果表明:该算法能够在噪声起伏较大的背景下完成信道检测和判决,检测概率优于传统能量检测算法。
In view of the fact that existing spectrum detection algorithms can not solve the problem of noise floor difference between different channels, a channel detection algorithm based on morphology operation is proposed. The algorithm first uses the morphology operation to estimate the channel noise floor and subtracts it to eliminate the influence of complex noise background. Then, the energy detection algorithm is used to determine the detection threshold to detect the sub-band signal. The simulation results show that the proposed algorithm can perform channel detection and decision under the background of large noise fluctuation, and the detection probability is better than the traditional energy detection algorithm.