基于时间支撑区域累积的多分量信号识别

Multi-Component Signal Recognition Based on Cumulative Time Supporting Region

为了将单分量信号和多分量信号有效区分开来,提出了一种多分量信号识别的新方法。首先对信号进行时频变换,并根据一定的规则将时频平面划分为多个时间支撑区域,然后对每一支撑区域沿时间轴进行累积,得到累积频谱图,最后通过统计频谱图上峰值的个数,判定是否为多分量信号。仿真实验表明,该方法能够在低信噪比下有效地将多分量信号识别出来。

To distinguish the multi-component signals and single component signals effective new method for multi-component signal recognition is presented. Firstly, the signal is processed by ly, tim a efrequency transform. Then the time-frequency plane is divided into several time supporting areas according to certain rules. After that, the support regions are cumulated along the time axis respectively to obtain the cumulative spectrum. Finally, the number of spectrum peaks is counted to determine whether the signal is the multi-component signal. Simulation results show that this method has a good anti-noise performance .