基于形态学运算的动态信道化子带信号检测法

Subband signal detection of dynamic channelized based on morphological operations

针对现有的频谱检测算法无法有效的解决噪声基底对检测性能的干扰问题,提出了一种改进的基于形态学运算的检测算法,应用改进的形态学运算对接收信号的噪声基底进行估计,将其减去从而消除了复杂噪声背景的影响,然后利用双门限检测算法对修正过频谱后的信号进行检测,对检测统计量落在双门限之间的情况利用循环平稳特性检测方法进行进一步检测,从而确定子带是否存在信号。仿真结果表明,该算法能够去除复杂噪声背景对信号检测的影响,提高检测概率,同时与传统双门限检测算法相比,检测性能更优。

The existing spectrum detection algorithm can’t effectively solve the interference of the noise floor on the detection performance. Aiming at the problem, this paper proposed a detection algorithm based on improved morphological operations. Firstly, the improved morphological operations were used to estimate the noise floor of receive signal and eliminate the influence of the complex noise environment by subtracting the noise floor. Then subband signals were detected by using double threshold spectrum detection algorithm, when the detection quantity was in the two threshold, the cyclic smooth detection was used to further detect to determine the presence of subband signals. The simulation shows that the proposed algorithm could complete the signal detection in complex noise environment and the detection performance is superior to traditional double threshold detection.