复杂背景噪声下的跳频信号分选算法

Frequency Hopping Signal Sorting Algorithm under Complex Background Noise

针对复杂背景噪声下突发跳频信号分选困难的问题,提出了一种基于短时傅里叶变换与图像处理相结合的跳频信号分选算法。该算法首先通过频域能量计算获得判决门限;其次通过判决门限对跳频信号时频图进行二值化处理以及图像处理,有效滤除了复杂背景噪声对跳频信号分选的影响。最后对该算法进行了仿真,验证了算法的有效性。

Focusing on the difficulty of sorting burst frequency hopping signal under complex background noise,this paper proposes a frequency hopping signal sorting algorithm based on the combination of shorttime Fourier transform and image processing.The algorithm first obtains the decision threshold by calculating the frequency energy.Then,it binarizes and image processes the hopping signal time-frequency diagram through the decision threshold,effectively eliminating the influence of complex background noise on the frequency hopping signal sorting.Finally,the algorithm is simulated to verify its effectiveness.