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An Integral Transform and Its Applications in Parameter Estimation of LFM Signals

机译:积分变换及其在LFM信号参数估计中的应用

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摘要

This paper proposes a new transform called simplified linear canonical transform (SLCT) that provides a new method for parameter estimation of linear frequency-modulated (LFM) chirp signals embedded in additive white Gaussian noise. The proposed transform is a linear transform and has a more succinct form as compared with the fractional Fourier transform (FRFT). The discrete SLCT with fast Fourier transform (FFT) algorithm provides a computationally fast choice for LFM signal detection or parameter estimation. Using SLCT and a clean technique, all the components of Multi-LFM signals can be estimated seriatim. Simulations illustrate that the proposed algorithm is more effective than existing ones.
机译:本文提出了一种称为简化线性规范变换(SLCT)的新变换,该变换为嵌入加性高斯白噪声的线性调频(LFM)线性调频信号的参数估计提供了一种新方法。所提出的变换是线性变换,并且与分数傅里叶变换(FRFT)相比具有更简洁的形式。具有快速傅立叶变换(FFT)算法的离散SLCT为LFM信号检测或参数估计提供了计算上的快速选择。使用SLCT和一种干净的技术,可以对串行LFM信号的所有分量进行估计。仿真表明,该算法比现有算法更有效。

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