MIMO Radar Accurate Imaging and Motion Estimation for 3-D Maneuvering Ship Target

Hu, Ziying; Wang, Wei; Dong, Fuwang

doi:10.1109/tim.2021.3101564

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Cited by 10 publications

(1 citation statement)

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“…ULTIPLE Input Multiple Output (MIMO) radar systems have been developed for various applications, including autonomous driving [1]- [3], concealed threat detection [4]- [6], and target motion estimation [7] [8]. The MIMO radar can also be an effective instrument for the measurement of Radar Cross Section (RCS) images to understand the scattering phenomenon of natural environment and the scattering characteristics of man-made targets [9]- [11].…”

Section: Introductionmentioning

confidence: 99%

Calibration of Polarimetric Millimeter MIMO Radar for Near-Field Ultrawideband Imaging Measurement

He,

Liu,

Shan

et al. 2024

IEEE Trans. Instrum. Meas.

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Section: Introductionmentioning

confidence: 99%

Calibration of Polarimetric Millimeter MIMO Radar for Near-Field Ultrawideband Imaging Measurement

He,

Liu,

Shan

et al. 2024

IEEE Trans. Instrum. Meas.

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A novel variational SBL approach for off-grid DOA detection under nonuniform noise

Wang

Wang²,

Huang³

et al. 2022

Digital Signal Processing

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Three‐dimensional interferometric inverse synthetic aperture radar imaging of ship target based on cubic phase signal model

Yang,

Wang

2024

IET Radar Sonar & Navi

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The interferometric inverse synthetic aperture radar (InISAR) system realises the interferometric processing on the imaging results obtained from three radars on a set of orthogonal baselines and can get the three‐dimensional (3D) imaging for the ship target. The ship targets experience complex motion characteristics such as roll, pitch and yaw in the course of navigation. These motions lead to the blurred two‐dimensional (2D) images and further affect the interference performance during the InISAR procedure. Therefore, this paper proposes a 3D InISAR imaging algorithm for the ship targets based on the cubic phase signal (CPS) model. This method approximates the azimuth echo signal as a CPS and utilises the particle swarm optimization algorithm to estimate the higher‐order phase coefficients. While preserving the phase information, the 3D image result can be achieved by the interference processing between the high‐resolution 2D images. The effectiveness of the algorithm is validated through the simulation experiments under different baseline lengths and signal‐to‐noise ratios.

show abstract

MIMO Radar Accurate Imaging and Motion Estimation for 3-D Maneuvering Ship Target

Cited by 10 publications

References 46 publications

Calibration of Polarimetric Millimeter MIMO Radar for Near-Field Ultrawideband Imaging Measurement

Calibration of Polarimetric Millimeter MIMO Radar for Near-Field Ultrawideband Imaging Measurement

A novel variational SBL approach for off-grid DOA detection under nonuniform noise

Three‐dimensional interferometric inverse synthetic aperture radar imaging of ship target based on cubic phase signal model

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