Micro-Doppler Parameter Estimation Method Based on Compressed Sensing

Jiayun Chang; Xiongjun Fu; Wen Jiang; Min Xie

doi:10.15918/j.jbit1004-0579.18021

Micro-Doppler Parameter Estimation Method Based on Compressed Sensing

Jiayun Chang, Xiongjun Fu^*, Wen Jiang, Min Xie

^*此作品的通讯作者

集成电路与电子学院

Beijing Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

1 引用（Scopus）

摘要

A micro-Doppler parameter estimation method based on compressed sensing theory is proposed in this paper. The micro-Doppler parameter estimation algorithm was improved for micro-motion targets with translation in this paper. Relatively ideal micro-Doppler parameter estimation results were obtained. The proposed micro-Doppler parameter estimation was compared with the traditional micro-Doppler parameter estimation algorithm. Requirements for return signal length were analyzed with this new algorithm and its performance was also analyzed in various environments with different SNR.

源语言	英语
页（从-至）	286-295
页数	10
期刊	Journal of Beijing Institute of Technology (English Edition)
卷	28
期	2
DOI	https://doi.org/10.15918/j.jbit1004-0579.18021
出版状态	已出版 - 1 6月 2019

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Chang, J., Fu, X., Jiang, W., & Xie, M. (2019). Micro-Doppler Parameter Estimation Method Based on Compressed Sensing. Journal of Beijing Institute of Technology (English Edition), 28(2), 286-295. https://doi.org/10.15918/j.jbit1004-0579.18021

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title = "Micro-Doppler Parameter Estimation Method Based on Compressed Sensing",

abstract = "A micro-Doppler parameter estimation method based on compressed sensing theory is proposed in this paper. The micro-Doppler parameter estimation algorithm was improved for micro-motion targets with translation in this paper. Relatively ideal micro-Doppler parameter estimation results were obtained. The proposed micro-Doppler parameter estimation was compared with the traditional micro-Doppler parameter estimation algorithm. Requirements for return signal length were analyzed with this new algorithm and its performance was also analyzed in various environments with different SNR.",

keywords = "Compressed sensing, Feature extraction, Micro-Doppler, Parameter estimation",

author = "Jiayun Chang and Xiongjun Fu and Wen Jiang and Min Xie",

note = "Publisher Copyright: {\textcopyright} 2019 Editorial Department of Journal of Beijing Institute of Technology .",

year = "2019",

month = jun,

day = "1",

doi = "10.15918/j.jbit1004-0579.18021",

language = "English",

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journal = "Journal of Beijing Institute of Technology (English Edition)",

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publisher = "Beijing Institute of Technology",

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TY - JOUR

T1 - Micro-Doppler Parameter Estimation Method Based on Compressed Sensing

AU - Chang, Jiayun

AU - Fu, Xiongjun

AU - Jiang, Wen

AU - Xie, Min

PY - 2019/6/1

Y1 - 2019/6/1

N2 - A micro-Doppler parameter estimation method based on compressed sensing theory is proposed in this paper. The micro-Doppler parameter estimation algorithm was improved for micro-motion targets with translation in this paper. Relatively ideal micro-Doppler parameter estimation results were obtained. The proposed micro-Doppler parameter estimation was compared with the traditional micro-Doppler parameter estimation algorithm. Requirements for return signal length were analyzed with this new algorithm and its performance was also analyzed in various environments with different SNR.

AB - A micro-Doppler parameter estimation method based on compressed sensing theory is proposed in this paper. The micro-Doppler parameter estimation algorithm was improved for micro-motion targets with translation in this paper. Relatively ideal micro-Doppler parameter estimation results were obtained. The proposed micro-Doppler parameter estimation was compared with the traditional micro-Doppler parameter estimation algorithm. Requirements for return signal length were analyzed with this new algorithm and its performance was also analyzed in various environments with different SNR.

KW - Compressed sensing

KW - Feature extraction

KW - Micro-Doppler

KW - Parameter estimation

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U2 - 10.15918/j.jbit1004-0579.18021

DO - 10.15918/j.jbit1004-0579.18021

M3 - Article

AN - SCOPUS:85071043235

SN - 1004-0579

VL - 28

SP - 286

EP - 295

JO - Journal of Beijing Institute of Technology (English Edition)

JF - Journal of Beijing Institute of Technology (English Edition)

IS - 2

ER -

Micro-Doppler Parameter Estimation Method Based on Compressed Sensing

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