Spectrum relation of linear MIMO structures in short range imaging

Xiaozhou Shang; Jing Yang; Zhiping Li

doi:10.2528/pierl18010905

Spectrum relation of linear MIMO structures in short range imaging

Xiaozhou Shang
, Jing Yang
, Zhiping Li^*

^*Corresponding author for this work

School of Electronic and Information Engineering

Beihang University

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

Abstract

This paper discusses the spectrum relation in Multiple-Input-Multiple-Output (MIMO) structures and presents an imaging algorithm for sparse linear MIMO array for short range imaging. This algorithm is available for MIMO array consisted by transmit and receive arrays separated from each other. The wave propagation process is used to interpret the spectrum relation in linear MIMO structures; therefore, the convolution relation of spectrum can be clearly understood. Moreover, the spectrum shift effect in linear MIMO structure with separated transmit and receive arrays is discussed and solved according to the spectrum relation. Above all, the imaging algorithm for sparse linear MIMO structure is presented, and the image performance is demonstrated by simulation results.

Original language	English
Pages (from-to)	25-31
Number of pages	7
Journal	Progress in Electromagnetics Research Letters
Volume	75
DOIs	https://doi.org/10.2528/pierl18010905
State	Published - 2018

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title = "Spectrum relation of linear MIMO structures in short range imaging",

abstract = "This paper discusses the spectrum relation in Multiple-Input-Multiple-Output (MIMO) structures and presents an imaging algorithm for sparse linear MIMO array for short range imaging. This algorithm is available for MIMO array consisted by transmit and receive arrays separated from each other. The wave propagation process is used to interpret the spectrum relation in linear MIMO structures; therefore, the convolution relation of spectrum can be clearly understood. Moreover, the spectrum shift effect in linear MIMO structure with separated transmit and receive arrays is discussed and solved according to the spectrum relation. Above all, the imaging algorithm for sparse linear MIMO structure is presented, and the image performance is demonstrated by simulation results.",

author = "Xiaozhou Shang and Jing Yang and Zhiping Li",

year = "2018",

doi = "10.2528/pierl18010905",

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journal = "Progress in Electromagnetics Research Letters",

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T1 - Spectrum relation of linear MIMO structures in short range imaging

AU - Shang, Xiaozhou

AU - Yang, Jing

AU - Li, Zhiping

PY - 2018

Y1 - 2018

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AB - This paper discusses the spectrum relation in Multiple-Input-Multiple-Output (MIMO) structures and presents an imaging algorithm for sparse linear MIMO array for short range imaging. This algorithm is available for MIMO array consisted by transmit and receive arrays separated from each other. The wave propagation process is used to interpret the spectrum relation in linear MIMO structures; therefore, the convolution relation of spectrum can be clearly understood. Moreover, the spectrum shift effect in linear MIMO structure with separated transmit and receive arrays is discussed and solved according to the spectrum relation. Above all, the imaging algorithm for sparse linear MIMO structure is presented, and the image performance is demonstrated by simulation results.

UR - https://www.scopus.com/pages/publications/85045738255

U2 - 10.2528/pierl18010905

DO - 10.2528/pierl18010905

M3 - 文章

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SN - 1937-6480

VL - 75

SP - 25

EP - 31

JO - Progress in Electromagnetics Research Letters

JF - Progress in Electromagnetics Research Letters

ER -

Spectrum relation of linear MIMO structures in short range imaging

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