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A.-Lei Chen

dblp:356/3419 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Physical-layer communications · 67% Wireless sensing and localization · 33%
Computer graphics and multimedia
1 paper
Image and video processing · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › signal processing for communications
array signal processing
0.112010
High-Resolution Imaging Using a Wideband MIMO Radar System With Two Distributed Arrays · IEEE Trans. Image Process. 2010
Physical-layer communications › antenna arrays
distributed antenna arrays
0.112010
High-Resolution Imaging Using a Wideband MIMO Radar System With Two Distributed Arrays · IEEE Trans. Image Process. 2010
Wireless sensing and localization
radar signal processing
0.112010
High-Resolution Imaging Using a Wideband MIMO Radar System With Two Distributed Arrays · IEEE Trans. Image Process. 2010
Image and video processing › radar imaging
inverse synthetic aperture radar imaging
0.012010
High-Resolution Imaging Using a Wideband MIMO Radar System With Two Distributed Arrays · IEEE Trans. Image Process. 2010
Image and video processing
radar imaging
0.012010
High-Resolution Imaging Using a Wideband MIMO Radar System With Two Distributed Arrays · IEEE Trans. Image Process. 2010

Methods — techniques the papers use, named apart from their topics

fourier integral processing · 0.2equivalent array production · 0.2
YearPublicationVenuePosition
2010 High-Resolution Imaging Using a Wideband MIMO Radar System With Two Distributed Arrays
abstract
Imaging a fast maneuvering target has been an active research area in past decades. Usually, an array antenna with multiple elements is implemented to avoid the motion compensations involved in the inverse synthetic aperture radar (ISAR) imaging. Nevertheless, there is a price dilemma due to the high level of hardware complexity compared to complex algorithm implemented in the ISAR imaging system with only one antenna. In this paper, a wideband multiple-input multiple-output (MIMO) radar system with two distributed arrays is proposed to reduce the hardware complexity of the system. Furthermore, the system model, the equivalent array production method and the imaging procedure are presented. As compared with the classical real aperture radar (RAR) imaging system, there is a very important contribution in our method that the lower hardware complexity can be involved in the imaging system since many additive virtual array elements can be obtained. Numerical simulations are provided for testing our system and imaging method.
Dang-wei Wang, A.-Lei Chen
IEEE Trans. Image Process.3