Aiming at the problem that Radon-Ambiguity transform,relieving linear frequency,maximum likelihood estimation,short time Fourier transform and some other algorithms can not estimate the STLFM-CW parameters accurately in a low calculation,an algorithm using signal-dependent best Gauss-Window STFT and segmented correlation demodulation was proposed.The algorithm got the signal's center frequency and modulation bandwidth through the signal-dependent best Gauss-Window STFT and got the signal's mod-ulation period through the segmented correlation demodulation.The analysis and simulation indicated that the algorithm could improve the STLFMCW parameters estimation precision dramatically in a low calcula-tion.%针对 Radon-Ambiguity变换、解线性调频、最大似然估计以及短时傅里叶变换等三角波调频信号参数估计方法均无法兼顾运算量小和估计精度高的问题,提出了基于信号特征的最佳高斯窗短时傅里叶变换与分段相关解调相结合的参数估计方法.该方法根据信号特征求得最佳高斯窗进行短时傅里叶变换,估计出信号的中心频率和调制带宽;再使用分段相关解调确定信号的严格线性调频段,进而估计出信号的调制周期.理论分析和仿真表明,本文方法以较小的运算量大幅提升了三角波调频信号的参数估计精度,实现了三角波调频信号参数的快速精确估计.
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