摘要
提出了一种基于图像分割和模板匹配的短波跳频信号盲检测算法。该算法将实际跳频信号的STFT(Short Time Fourier Transform)时频谱图当做一幅图像,利用图像分割手段分离背景噪声,并通过模板匹配来实现跳频信号的检测。实验结果表明该算法能够有效克服实际短波信道中复杂的背景噪声,计算复杂度低,易于工程实现。
In this paper,an algorithm is proposed for blind detection of High Frequency FH Signals based on Image Segmentation and Template Matching.The algorithm takes the time-frequency spectrograph of practical signal STFT as an ordinary image,utilizes image segmentation to remove the background noise,and implements the blind detection of FH signal by template matching.Experimental results show that the algorithm can effectively remove the complex background noise coming from the practical High Frequency channel with smaller computational complexity,thus making engineering implementation easier.
出处
《信息工程大学学报》
2010年第6期756-761,共6页
Journal of Information Engineering University
关键词
跳频
盲检测
STFT
图像分割
模板匹配
frequency-hopping
blind detection
STFT
image segmentation
template matching
