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

^*Corresponding author for this work

School of Integrated Circuits and Electronics

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

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.

Original language	English
Pages (from-to)	286-295
Number of pages	10
Journal	Journal of Beijing Institute of Technology (English Edition)
Volume	28
Issue number	2
DOIs	https://doi.org/10.15918/j.jbit1004-0579.18021
Publication status	Published - 1 Jun 2019

Keywords

Compressed sensing
Feature extraction
Micro-Doppler
Parameter estimation

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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 .",

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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

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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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Keywords

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