A Novel MIMO ArcSAR Imaging System for FOD Detection

In this article, a multiple-input and multiple-output (MIMO) arc synthetic aperture radar (ArcSAR) scheme for the detection of foreign object debris (FOD) located in an airport runway is proposed. In the proposed system, in order to overcome the problem of the large computational cost of the traditional wavenumber domain ArcSAR imaging method, an improved ArcSAR algorithm named segmentwise matched filtering (SWMF) is proposed to reduce the number of matched filters. Furthermore, to utilize the energy accumulation performance of multichannels in a monolithic microwave integrated circuit (MMIC), an MIMO-ArcSAR scheme is developed. In the MIMO-ArcSAR system, the multichannel phase compensation is performed to achieve coherent accumulation. To verify the performance of the proposed technology, an FOD detection radar system based on a low-cost MMIC chip is implemented. Simulation and real-data results show that the proposed method performs well in FOD detection.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Radar Systems
Published
2025-01-01
DOI
https://doi.org/10.1109/trs.2025.3598677
Citations
1
Primary Topic
Forensic Fingerprint Detection Methods
Type
article
Field-Weighted Citation Impact
2.37

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Novel MIMO ArcSAR Imaging System for FOD Detection

Steven Gao, Yixiong Zhang, Caipin Li, Jianyang Zhou et al.
1 citations
IEEE Transactions on Radar Systems
Forensic Fingerprint Detection Methods
2.37
article

A Novel MIMO ArcSAR Imaging System for FOD Detection

Steven Gao, Yixiong Zhang, Caipin Li, Jianyang Zhou, Wenyan Hong, Tingyong Fan
article en
1 citations

Abstract

In this article, a multiple-input and multiple-output (MIMO) arc synthetic aperture radar (ArcSAR) scheme for the detection of foreign object debris (FOD) located in an airport runway is proposed. In the proposed system, in order to overcome the problem of the large computational cost of the traditional wavenumber domain ArcSAR imaging method, an improved ArcSAR algorithm named segmentwise matched filtering (SWMF) is proposed to reduce the number of matched filters. Furthermore, to utilize the energy accumulation performance of multichannels in a monolithic microwave integrated circuit (MMIC), an MIMO-ArcSAR scheme is developed. In the MIMO-ArcSAR system, the multichannel phase compensation is performed to achieve coherent accumulation. To verify the performance of the proposed technology, an FOD detection radar system based on a low-cost MMIC chip is implemented. Simulation and real-data results show that the proposed method performs well in FOD detection.

IEEE Transactions on Radar SystemsVol. 3
Chinese University of Hong Kong (HK), Xiamen University (CN), China Academy of Space Technology (CN), Chinese University of Hong Kong, Shenzhen (CN), Xiamen University of Technology (CN)
Aeronautical Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 10%
Forensic Fingerprint Detection Methods
2.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Novel MIMO ArcSAR Imaging System for FOD Detection — Steven Gao, Yixiong Zhang, et al. · IEEE Transactions on Radar Systems (2025) | TGRS Research Map | TGRS