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)....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.展开更多
针对立方调频(Cubic Frequency Modulated,CFM)信号的参数估计问题,提出了一种基于高阶模糊函数(High order Ambiguity Function,HAF)和相参积累三阶自相关函数(Coherently Integrated Trilinear Autocorrelation Function,CITAF)的参...针对立方调频(Cubic Frequency Modulated,CFM)信号的参数估计问题,提出了一种基于高阶模糊函数(High order Ambiguity Function,HAF)和相参积累三阶自相关函数(Coherently Integrated Trilinear Autocorrelation Function,CITAF)的参数估计方法。利用HAF将立方相位信号降阶为二次调频(Quadratic Frequency Modulated,QFM)信号,再利用CITAF完成参数估计。由于CITAF能够在时域和时延域完成信号能量的二维相参积累,其实现过程利用复乘、傅里叶变换和加法操作即可完成,因此该方法能够提高参数估计的分辨率和抗噪声干扰能力,并保持较低的计算量。实验结果证实了该算法的有效性和性能上的优越性。展开更多
文摘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.
文摘针对立方调频(Cubic Frequency Modulated,CFM)信号的参数估计问题,提出了一种基于高阶模糊函数(High order Ambiguity Function,HAF)和相参积累三阶自相关函数(Coherently Integrated Trilinear Autocorrelation Function,CITAF)的参数估计方法。利用HAF将立方相位信号降阶为二次调频(Quadratic Frequency Modulated,QFM)信号,再利用CITAF完成参数估计。由于CITAF能够在时域和时延域完成信号能量的二维相参积累,其实现过程利用复乘、傅里叶变换和加法操作即可完成,因此该方法能够提高参数估计的分辨率和抗噪声干扰能力,并保持较低的计算量。实验结果证实了该算法的有效性和性能上的优越性。
