ANALYZING OF MULTICOMPONENT UNDERSAMPLED SIGNALS BY HAF  

作　　者：Tao Ran Shan Tao Zhou Siyong Wang Yue (Department of Electronic Engineering, Beijing Institute of Technology, Beijing 100081) 

出　　处：《Journal of Electronics(China)》2001年第2期121-126,共6页电子科学学刊（英文版）

摘　　要：The phenomenon of frequency ambiguity may appear in radar or communication systems. S. Barbarossa(1991) had unwrapped the frequency ambiguity of single component undersampled signals by Wigner-Ville distribution(WVD). But there has no any effective algorithm to analyze multicomponent undersampled signals by now. A new algorithm to analyze multicomponent undersampled signals by high-order ambiguity function (HAF) is proposed hera HAF analyzes polynomial phase signals by the method of phase rank reduction, its advantage is that it does not have boundary effect and is not sensitive to the cross-items of multicomponent signals.The simulation results prove the effectiveness of HAF algorithm.The phenomenon of frequency ambiguity may appear in radar or communication systems. S. Barbarossa(1991) had unwrapped the frequency ambiguity of single component uri-dersampled signals by Wigner-Ville distribution(WVD). But there has no any effective algorithm to analyze multicomponent undersampled signals by now. A new algorithm to analyze multicomponent undersampled signals by high-order ambiguity function (HAF) is proposed here. HAF analyzes polynomial phase signals by the method of phase rank reduction, its advantage is that it does not have boundary effect and is not sensitive to the cross-items of multicomponent signals. The simulation results prove the effectiveness of HAF algorithm.

关 键 词：Undersampled SIGNAL FREQUENCY ESTIMATION HAF 

分 类 号：TN[电子电信]