High-resolution radar imaging in complex environments based on Bayesian learning with mixture models
X Bai, Y Zhang, F Zhou - IEEE Transactions on Geoscience and …, 2018 - ieeexplore.ieee.org
We address the problem of high-resolution radar imaging in complex environments in a
Bayesian framework. We perform model order selection and sparse weights estimation via …
Bayesian framework. We perform model order selection and sparse weights estimation via …
High-resolution radar imaging in low SNR environments based on expectation propagation
X Bai, G Wang, S Liu, F Zhou - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
We address the problem of high-resolution radar imaging in low signal-to-noise ratio (SNR)
environments in an approximate Bayesian inference framework. First, the probabilistic …
environments in an approximate Bayesian inference framework. First, the probabilistic …
High-resolution radar imaging of off-grid maneuvering targets based on parametric sparse Bayesian learning
X Bai, Y Zhang, S Liu - IEEE Transactions on Geoscience and …, 2022 - ieeexplore.ieee.org
In high-resolution radar imaging, the time-varying Doppler induced by maneuvering targets
generally invalidates traditional methods. Although sparse signal reconstruction methods …
generally invalidates traditional methods. Although sparse signal reconstruction methods …
Coherent processing and superresolution technique of multi-band radar data based on fast sparse Bayesian learning algorithm
HH Zhang, RS Chen - IEEE Transactions on Antennas and …, 2014 - ieeexplore.ieee.org
The coherent processing and superresolution of multi-band radar data from multiple
spatially collocated radars is addressed by utilizing a sparse representation technique in this …
spatially collocated radars is addressed by utilizing a sparse representation technique in this …
Space–time adaptive processing and motion parameter estimation in multistatic passive radar using sparse Bayesian learning
Conventional space-time adaptive processing suffers from the requirement of a large
number of secondary samples. In this paper, a novel method is proposed to accurately …
number of secondary samples. In this paper, a novel method is proposed to accurately …
Collaborative compressive radar imaging with saliency priors
Although several works have been done on high-resolution inverse synthetic aperture radar
(ISAR) imaging via compressive sampling technology, they only explore sparse priors of …
(ISAR) imaging via compressive sampling technology, they only explore sparse priors of …
Off‐Grid Radar Coincidence Imaging Based on Variational Sparse Bayesian Learning
X Zhou, H Wang, Y Cheng, Y Qin - Mathematical Problems in …, 2016 - Wiley Online Library
Radar coincidence imaging (RCI) is a high‐resolution staring imaging technique motivated
by classical optical coincidence imaging. In RCI, sparse reconstruction methods are …
by classical optical coincidence imaging. In RCI, sparse reconstruction methods are …
Azimuth super-resolution of forward-looking imaging based on Bayesian learning in complex scene
W Li, M Li, L Zuo, H Sun, H Chen, X Lu - Signal Processing, 2021 - Elsevier
Azimuth super-resolution is an efficient method to enhance the angular resolution of
scanning radar in forward-looking area. The existing super-resolution methods are limited in …
scanning radar in forward-looking area. The existing super-resolution methods are limited in …
Compressive radar imaging of stationary indoor targets with low-rank plus jointly sparse and total variation regularizations
VH Tang, A Bouzerdoum… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This paper addresses the problem of wall clutter mitigation and image reconstruction for
through-wall radar imaging (TWRI) of stationary targets by seeking a model that incorporates …
through-wall radar imaging (TWRI) of stationary targets by seeking a model that incorporates …
Enhanced ISAR imaging by exploiting the continuity of the target scene
This paper presents a novel inverse synthetic aperture radar (ISAR) imaging method by
exploiting the inherent continuity of the scatterers on the target scene to obtain enhanced …
exploiting the inherent continuity of the scatterers on the target scene to obtain enhanced …