摘要
跳频通信是非协作通信的常见形式,信号解跳后,准确地估计出符号率是实现正确解调的关键。保密通信中,为了保证信号的低截获率,发射信号往往持续时间短,且跳频时隙的符号数少,现有的方法针对此类信号进行符号率估计性能不佳。文章提出了一种结合带宽估计、小波变换与统计分析理论的新方法,利用小波的奇异性检测特性,结合带宽估计选择小波尺度,检测出符号的持续时间,并进行统计分析,进而精确估计出信号符号率。仿真实验表明,该方法有较高的精确度及抗噪性。
Frequency hopping communication is a common form of non-cooperative communication. Accurately estimated symbol rate is the key point to achieve the correct demodulation of digital signals after de-hopping. In secure communications, in order to ensure low interception rate, the transmitted signals often last for a short time with few symbols in hopping pulse. Existing symbol rate estimation algorithms for such signals perform poor. To solve the problems, a new method of combination of bandwidth estimation, wavelet transform and statistical analysis is presented in this paper. The wavelet scale is selected utilizing bandwidth estimation, and the symbol duration can be detected and analyzed statistically, then the symbol rate of the signal can be estimated accurately. The simulation results show that this method has higher accuracy and is robust to noise.
出处
《电子测量与仪器学报》
CSCD
2013年第2期140-144,共5页
Journal of Electronic Measurement and Instrumentation
基金
国家重点基金(9140A170301)资助项目
关键词
跳频通信
小波变换
符号率估计
frequency hopping communication
wavelet transform
symbol rate estimation
