An Improved LFM Signal Reconstruction Method and its Application

Shan Luo, Qiu Xn, Tong Wu, S. Du
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Abstract

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.
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一种改进的线性调频信号重构方法及其应用
针对多分量线性调频(LFM)信号,提出一种基于Lv分布的时域信号重构方法。与已有报道的基于LVD的信号重建(LSR)方法相比,该方法可以通过减去混合在自动项中的交叉项来减少恢复误差。因此,它是一种改进的LSR方法,称为抑制交叉项LSR (LSRSC)。仿真结果表明,LSRSC能够有效地重构多分量LFM信号。最后,将该方法用于任意采样率的重采样,取得了比LSR和分数阶傅里叶变换更好的性能。
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