: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。

Aiming at the problem that existing spectrum detection algorithms can not deal with the difference of noise base between different channels, a channel detection algorithm based on morphological operation is proposed. Firstly, morphological operations are used to estimate the base of the channel noise, and the effect of the complex noise background is eliminated. Energy detection algorithm is then used to determine the detection threshold, and the sub-band signal detection is realized. The simulation results show that the proposed algorithm can complete the channel detection and decision in the background of noise fluctuation, and the detection probability is better than that of the traditional energy detection algorithm.

TN957

国家自然科学基金资助项目