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An Improved LFM Signal Reconstruction Method and its Application

机译:一种改进的LFM信号重构方法及其应用

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In this paper, a time-domain signal reconstruction method based on the Lv distribution (LVD) is introduced for multi-component linear frequency modulated (LFM) signals. Comparing to the LVD based signal reconstruction (LSR) which had been reported to recover signals based on the auto-terms, our approach can reduce recovery errors by subtracting cross-terms mixed in the auto-terms. Therefore it is an improved method of LSR, referring to as the LSR with suppressed cross-terms (LSRSC). Examples are simulated to show that the LSRSC is able to reconstruct multi-component LFM signals effectively. Finally, the proposed method is employed on re-sampling to arbitrary sampling rate and achieves better performance than the LSR and fractional Fourier transform.
机译:本文介绍了一种基于Lv分布(LVD)的时域信号重构方法,用于多分量线性调频(LFM)信号。与据报导基于自动项恢复信号的基于LVD的信号重构(LSR)相比,我们的方法可以通过减去自动项中混合的交叉项来减少恢复误差。因此,它是LSR的一种改进方法,称为具有抑制的交叉项的LSR(LSRSC)。仿真实例表明,LSRSC能够有效地重构多分量LFM信号。最终,该方法被用于重新采样到任意采样率,并且比LSR和分数阶Fourier变换具有更好的性能。

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