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A multi-component LFM signal parameters estimation method using STFT and Zoom-FRFT

机译:基于STFT和Zoom-FRFT的多分量LFM信号参数估计方法

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Traditional parameters estimation methods for the Multi-component Linear Frequency Modulation (MLFM) signal based on Fractional Fourier Transform (FRFT) could not achieve the satisfactory precision and the lesser computation cost. In this paper, we propose a new method combining the Short Time Fourier Transform (STFT) and Zoom-FRFT, to estimate the MLFM signal parameters. Firstly, the coarse estimation can be achieved from the straight line detection of short time Fourier spectrum. Then, we could calculate the analysis range of transform order and Fractional domain spectrum by the FRFT domain spectrum distribution characteristics of interference signal. Finally, we can estimate the optimal order and precise peak position by the optimum seeking method in the Zoom-FRFT domain. The simulation results show that, this method can improve both the parameters estimation precision and the computation cost significantly, and can flexibly choose the window width and the zoom times.
机译:传统的基于分数阶傅里叶变换(FRFT)的多分量线性调频(MLFM)信号参数估计方法无法获得令人满意的精度和较低的计算成本。在本文中,我们提出了一种结合短时傅立叶变换(STFT)和Zoom-FRFT的新方法来估计MLFM信号参数。首先,可以通过短时傅立叶频谱的直线检测来实现粗略估计。然后,可以通过干扰信号的FRFT域频谱分布特性来计算变换阶数和分数域频谱的分析范围。最后,我们可以通过Zoom-FRFT域中的最佳搜索方法来估计最佳阶数和精确的峰位置。仿真结果表明,该方法可以显着提高参数估计精度和计算成本,并且可以灵活选择窗口宽度和缩放倍数。

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