基于SVD的CEEMDAN毫米波雷达测距

2022 IEEE 10th Asia-Pacific Conference on Antennas and Propagation (APCAP) Pub Date : 2022-11-04 DOI:10.1109/APCAP56600.2022.10068866

H. Liu, Yong Wang, Mu Zhou, Liangbo Xie, Quan Long, Lixian Fu

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引用次数: 0

摘要

本文提出了一种利用近程调频连续波(FMCW)雷达的测距算法。具体来说，提出了带自适应噪声的全系综经验模态分解方法(CEEMDAN)来分解中频信号。然后，提出奇异值分解(SVD)来帮助选择有用的内模态函数。最后，对重构信号进行补零快速傅里叶变换。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Millimeter-wave Radar Ranging Based on CEEMDAN With SVD

In this paper, a ranging algorithm is proposed using the short-range Frequency Modulation Continuous Wave (FMCW) radar. Specifically, the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) is presented to decompose the intermediate frequency (IF) signal. Then, the Singular Value Decomposition (SVD) is proposed to help select useful intrinsic mode function. Finally, the zero-padded fast Fourier transform is performed on the reconstructed signal.

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2022 IEEE 10th Asia-Pacific Conference on Antennas and Propagation (APCAP)

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