摘要
基于WVD-Hough变换方法,提出了一种基于WVD和随机Hough变换联合估计信号参数和抑制交叉项的方法。该方法将信号投影到参数空间,突出信号的特点,使得信号参数更容易被估计。当被用于检测多分量信号时,通过增加采样次数可有效地抑制交叉项,准确估计多分量信号的参数。仿真的结果验证了算法的有效性。
Based on the WVD- Hough transform, a method combining WVD and random Hough transform is proposed for signal parameter estimation and cross terms restriction. With this method, signals are mapped onto a parameter space to highlight its characteristics to make the detection and estima- tion of parameter easier. Particularly, this method can be applied to detecting multi-component signals, reducing cross terms effectively by sampling more times and improving the estimation accuracy of the parameter of multi-component signals. The simulation result validates the effectiveness of this algorithm.
出处
《现代防御技术》
北大核心
2010年第3期86-89,共4页
Modern Defence Technology
关键词
WVD
随机HOUGH变换
交叉项
Wigner-ville distribution （WVD）
random Hough transform
cross terms
