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MIMO radar for advanced driver-assistance systems and autonomous driving: Advantages and challenges
Important requirements for automotive radar are high resolution, low hardware cost, and
small size. Multiple-input, multiple-output (MIMO) radar technology has been receiving …
small size. Multiple-input, multiple-output (MIMO) radar technology has been receiving …
Sparse synthetic aperture radar imaging from compressed sensing and machine learning: Theories, applications, and trends
Synthetic aperture radar (SAR) image formation can be treated as a class of ill-posed linear
inverse problems, and the resolution is limited by the data bandwidth for traditional imaging …
inverse problems, and the resolution is limited by the data bandwidth for traditional imaging …
Sparse microwave imaging: Principles and applications
BC Zhang, W Hong, YR Wu - Science China Information Sciences, 2012 - Springer
This paper provides principles and applications of the sparse microwave imaging theory and
technology. Synthetic aperture radar (SAR) is an important method of modern remote …
technology. Synthetic aperture radar (SAR) is an important method of modern remote …
4D automotive radar sensing for autonomous vehicles: A sparsity-oriented approach
We propose a high-resolution imaging radar system to enable high-fidelity four-dimensional
(4D) sensing for autonomous driving, ie, range, Doppler, azimuth, and elevation, through a …
(4D) sensing for autonomous driving, ie, range, Doppler, azimuth, and elevation, through a …
Integrated sensing and communication with mmWave massive MIMO: A compressed sampling perspective
Integrated sensing and communication (ISAC) has opened up numerous game-changing
opportunities for realizing future wireless systems. In this paper, we propose an ISAC …
opportunities for realizing future wireless systems. In this paper, we propose an ISAC …
Joint transmit designs for coexistence of MIMO wireless communications and sparse sensing radars in clutter
The paper proposes a cooperative scheme for the coexistence of a multiple-input-multiple-
output (MIMO) communication system and a matrix completion (MC) based, collocated …
output (MIMO) communication system and a matrix completion (MC) based, collocated …
Optimum co-design for spectrum sharing between matrix completion based MIMO radars and a MIMO communication system
Spectrum sharing enables radar and communication systems to share the spectrum
efficiently by minimizing mutual interference. Recently proposed multiple-input multiple …
efficiently by minimizing mutual interference. Recently proposed multiple-input multiple …
Sparsity-driven synthetic aperture radar imaging: Reconstruction, autofocusing, moving targets, and compressed sensing
This article presents a survey of recent research on sparsity-driven synthetic aperture radar
(SAR) imaging. In particular, it reviews 1) the analysis and synthesis-based sparse signal …
(SAR) imaging. In particular, it reviews 1) the analysis and synthesis-based sparse signal …
Off-grid DOA estimation using sparse Bayesian learning in MIMO radar with unknown mutual coupling
In the practical radar with multiple antennas, the antenna imperfections degrade the system
performance. In this paper, the problem of estimating the direction of arrival (DOA) in a …
performance. In this paper, the problem of estimating the direction of arrival (DOA) in a …
Power allocation strategies for target localization in distributed multiple-radar architectures
Widely distributed multiple radar architectures offer parameter estimation improvement for
target localization. For a large number of radars, the achievable localization minimum …
target localization. For a large number of radars, the achievable localization minimum …