摘要
介绍了利用非线性时频分布(WVD和SPWVD)进行跳频信号分析,通过理论研究和仿真分析表明,非线性时频分布能够反映出信号的瞬时能量分布,是关于信号二阶统计量(如局部自相关函数)的Fourier变换,相对Fourier变换和线性时频分布而言,它具有更好的时频聚集性,能够很好地展现跳频信号的时频特征和能量分布,采用加窗处理等方法,可以较好地抑制非线性时频分布中的交叉项和能量分布的负值性,从而证明了非线性时频分布用于跳频信号分析研究的工程应用可行性。
Nonlinear time - frequency distribution and its application in frequency - hopped signal analysis are introduced. Instantaneous energy distribution of signal can be reflected by nonlinear time - frequency distribution,which is a Fourier transform of signal~ second - order statistics（ such as partial auto - correlational function） and has best time - frequency conglomeration characteristics relatively with Fourier transform and linear time - frequency distribution. Nonlinear time - frequency distribution does well in terms of time - frequency characteristics and energy distribution. Assisted by window - weighted processing, nonlinear time - frequency distribution rejects cross terms and property of the energy distribution. Theory analysis and simulation support the feasibility of its application in the frequency - hopped signal analysis.
出处
《计算机仿真》
CSCD
2005年第8期270-273,共4页
Computer Simulation
关键词
时-频分析
非线性时频分布
非平稳信号
Time - frequency analysis
Nonlinear time - frequency distribution
Nonstationary signals
