一种基于形态学预处理的时频检测算法  

Novel TF Detection Algorithm Based on Morphology Pre-Processing

作　　者：陈含欣[1] 江桦[1] 崔伟亮[1] 

机构地区：[1]信息工程大学信息工程学院,河南郑州450002

出　　处：《信息工程大学学报》2010年第4期438-442,共5页Journal of Information Engineering University

摘　　要：为克服短波信道中噪声和干扰对跳频检测的不利影响,对其时频分布特征进行分析,提出了一种把时频图作为二维图像进行形态学预处理的时频检测新算法。并采用复合信息熵进行了性能评估和仿真分析。仿真结果表明,在复杂的短波信道环境下,算法能有效抑制噪声和干扰信号,实现对跳频信号的检测。Delveing into the time-frequency distribution of FH signals,interferences and noises in SW channel,this paper proposes a novel TF detection algorithm based on morphology pre-processing to suppress interferences and noises,which treats the TF spectrogram as two-dimensional image.Finally,the synthesized information entropy is employed to evaluate the performance of the algorithm.Simulation results show that the algorithm can detect FH signals by suppressing noise and interference efficiently in a given complicated SW channel environment.

关 键 词：形态学 时频分布 跳频检测 

分 类 号：TN911.7[电子电信—通信与信息系统]