A novel BP algorithm‐based UWB MIMO ground‐penetrating imaging system

Ultra‐wideband (UWB) multiple input multiple output (MIMO) radar has been widely used in detection systems due to its advantages, such as low cost and high data acquisition capability. The detection system is applied in various ground‐penetrating applications, including mine detection and earthquake...

Full description

Saved in:
Bibliographic Details
Published inMicrowave and optical technology letters Vol. 66; no. 8
Main Authors Xu, Huaqiang, Li, Xiaoshuang, Fan, Yucheng, Yu, Xinchang, Wang, Yumeng, Zhao, Yuefeng, Wang, Jingjing
Format Journal Article
LanguageEnglish
Published New York Wiley Subscription Services, Inc 01.08.2024
Subjects
Algorithms
BP algorithm
Continuous radiation
Data acquisition
GPR imaging
Image reconstruction
MIMO communication
MIMO radar
Mine detection
Penetration depth
Radar detection
Radar equipment
Radar imaging
Target detection
Ultrawideband radar
UWB
Vivaldi antenna
Online AccessGet full text

Cover

More Information
Summary:Ultra‐wideband (UWB) multiple input multiple output (MIMO) radar has been widely used in detection systems due to its advantages, such as low cost and high data acquisition capability. The detection system is applied in various ground‐penetrating applications, including mine detection and earthquake rescue. In this paper, a novel UWB MIMO radar system based on step‐frequency continuous wave is designed for underground target detection. To improve the penetration depth and high‐range resolution, a new miniature Vivaldi antenna with a bandwidth of 1–3 GHz is designed and integrated into the ground‐penetrating imaging system. Furthermore, a multiscale weighted time‐domain back projection (BP) algorithm is proposed to suppress artifacts and reduce the computational complexity of the BP algorithm. The designed system is tested by detecting stationary targets. The experimental results agree well with the simulation. The reconstructed images show that the designed MIMO radar system can successfully image underground targets.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0895-2477
1098-2760
DOI:10.1002/mop.34281