基于形态学处理的突发信号宽带检测算法

在非协作通信中，确定突发信号的中心频率和起止时刻，是突发信号检测的主要任务。本文对突发信号的宽带时频图进行形态学滤波以及骨架提取，利用处理后的时频图信息进行信号的时间占有度统计，并以此确定突发信号中心频率；采用基于Goertzel算法的Power．Law检测器来实现突发信号的捕获；根据信噪比的粗估计采取合适的起止时刻检测方式，完成突发信号的检测。仿真结果表明，算法能够较好地确定突发信号的中心频率，提高起止时刻的检测性能。

A broadband detection algorithm of burst signal based on morphology processing

Confirming the center frequency and begin-end time is the primary task of burst signal detection in non-cooperative communication. The correlation algorithms of burst signal detection are discussed. The morphology filtering and skeletonization algorithm is adopted to preprocess the broadband time-frequency image of burst signals and suppress noise and interference. The occupied time rates of signals are computed and the center frequency of burst signals are obtained. The Power-Law detector based on Goertzel algorithm is employed and the detection of burst signal is realized. Appropriate method is taken to estimate the begin-end time of burst signal according to the coarse estimation of signal to noise ratio. Simulation results indicate that the algorithm is more effective to extract the center frequency of burst signal and can enhance the performance of begin-end time extraction.