Spectrum estimation of electromagnetic signal based on AR model parametric spectrum estimation

Ju Zhou; Lihua Lei; Naijin Liu

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Spectrum estimation of electromagnetic signal based on AR model parametric spectrum estimation

机译：基于AR模型参数频谱估计的电磁信号频谱估计

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For the low accuracy of classical spectrum estimation, the AR model method in modern parameter estimation is proposed to analyze the spectrum of electromagnetic signal. The basic principle of AR model is introduced and the Burg algorithm is simulated by Matlab. The electromagnetic signal in the real environment is simulated by the classical FFT method and the AR model method. Comparing the results show that the AR model is more accurate and reliable in the detection of electromagnetic signals, so modern parameter spectral estimation can be used as a method for spectrum analysis of electromagnetic signals.

机译：针对经典频谱估计精度较低的问题，提出了现代参数估计中的AR模型方法来分析电磁信号频谱。介绍了AR模型的基本原理，并通过Matlab对Burg算法进行了仿真。真实环境中的电磁信号通过经典的FFT方法和AR模型方法进行仿真。比较结果表明，AR模型在电磁信号检测中更加准确可靠，因此现代参数谱估计可以作为电磁信号谱分析的一种方法。

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《MATEC Web of Conferences》 |2018年第1期|共4页
作者
Ju Zhou; Lihua Lei; Naijin Liu;
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1. Spectrum estimation of electromagnetic signal based on AR model parametric spectrum estimation [J] . Ju Zhou, Lihua Lei, Naijin Liu MATEC Web of Conferences . 2018,第3期

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Spectrum estimation of electromagnetic signal based on AR model parametric spectrum estimation

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