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 …
Sparse super‐resolution imaging for airborne single channel forward‐looking radar in expanded beam space via lp regularisation
HM Chen, M Li, Z Wang, Y Lu, P Zhang… - Electronics Letters, 2015 - Wiley Online Library
An adaptive super‐resolution imaging algorithm to enhance the performance of airborne
single channel forward‐looking radar is proposed. Multiple beams data to expand the …
single channel forward‐looking radar is proposed. Multiple beams data to expand the …
Long coherent integration in passive radar systems using super-resolution sparse Bayesian learning
A Filip-Dhaubhadel, D Shutin - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Maximizing the coherent processing interval (CPI) is crucial when performing passive radar
detection on weak signal reflections. In practice, however, the CPI is limited by the target …
detection on weak signal reflections. In practice, however, the CPI is limited by the target …
Super‐resolution 3D imaging in MIMO radar using spectrum estimation theory
S Ding, N Tong, Y Zhang, X Hu - IET Radar, Sonar & …, 2017 - Wiley Online Library
A super‐resolution three‐dimensional (3D) imaging method using spectrum estimation
theory and narrowband multiple‐input–multiple‐output (MIMO) radar is presented. First, the …
theory and narrowband multiple‐input–multiple‐output (MIMO) radar is presented. First, the …
Wideband sparse reconstruction for scanning radar
Y Zhang, A Jakobsson, Y Zhang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Recently, the generalized sparse iterative covariance-based estimation algorithm was
extended to allow for varying norm constraints in scanning radar applications. In this paper …
extended to allow for varying norm constraints in scanning radar applications. In this paper …
Superresolution imaging for forward-looking scanning radar with generalized Gaussian constraint
Y Zhang, Y Huang, Y Zha, J Yang - Progress In Electromagnetics Research …, 2016 - jpier.org
A maximum a posteriori (MAP) approach, based on the Bayesian criterion, is proposed to
overcome the low cross-range resolution problem in forward-looking imaging. We adapt …
overcome the low cross-range resolution problem in forward-looking imaging. We adapt …
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 …
Fast OMP algorithm for 3D parameters super‐resolution estimation in bistatic MIMO radar
D Zhang, Y Zhang, X Hu, G Zheng, J Tang… - Electronics …, 2016 - Wiley Online Library
A fast super‐resolution method for joint Doppler frequency, direction of departure and
direction of arrival estimation in bistatic MIMO radar is presented. First, the 3D echo signal …
direction of arrival estimation in bistatic MIMO radar is presented. First, the 3D echo signal …
High-resolution sparse subband imaging based on Bayesian learning with hierarchical priors
F Zhou, X Bai - IEEE Transactions on Geoscience and Remote …, 2018 - ieeexplore.ieee.org
To obtain higher range resolution without incurring significant hardware costs, this paper
proposes a novel method for high-resolution sparse subband imaging based on Bayesian …
proposes a novel method for high-resolution sparse subband imaging based on Bayesian …
Microwave correlation forward-looking super-resolution imaging based on compressed sensing
Y Quan, R Zhang, Y Li, R Xu, S Zhu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Forward-looking correlated imaging plays an increasingly important role in modern radar
imaging systems. It overcomes disadvantages of traditional side or squint synthetic aperture …
imaging systems. It overcomes disadvantages of traditional side or squint synthetic aperture …