摘要
给出了一种对非平稳信号的时频特性进行快速分析的算法——移动窗口平均频率算法,通过移动窗口来截取信号,并计算窗口内信号平均频率来获得信号的时频分布,具有算法简单、运算速度快的特点;通过MATLAB仿真验证了该方法的有效性和可靠性;并给出了该算法的一个应用实例——从噪声中识别数字调制信号,能够对ASK、FSK、PSK等信号的调制类型进行识别,改善了信号识别的性能。
In this paper, a fast algorithm to analyze time-frequency distribution of non-stationary signals is given. It is called algorithm of shift window＇s average frequency. This algorithm features both simple complicating and high efficiency. Effectiveness and reliability of the algorithm are proved by MATLAB simulation. An application to identify digital modulation signals from noise is presented, the identification performance can be improved by this algorithm.
出处
《无线电通信技术》
2007年第2期26-28,54,共4页
Radio Communications Technology
关键词
时频分布
频谱
信号识别
仿真
time-frequency distribution
frequency spectral
identification of signals
simulation
