Efficient Image Reconstruction Methods Based on Structured Sparsity for Short-Range Radar

S Song, Y Dai, S Sun, T Jin - IEEE Transactions on Geoscience …, 2024 - ieeexplore.ieee.org
The radar imaging method, based on matched filtering (MF), generates high gratings and
sidelobes in sparse aperture data, resulting in artifacts in the radar image. The theory of …

Analysis of the visualizing changes in radar time series using the REACTIV method through satellite imagery

HS Hamid, RF Chisab - International Journal of Electrical and …, 2022 - search.proquest.com
A visualizing temporal stack of synthetic aperture radar (SAR) images are presented in this
work, the method is called REACTIV, which enabled us to highlight color zones that have …

[PDF][PDF] Blending of three-dimensional geometric model shapes

SB Ng, KW Ng, RWOK Rahmat… - Indonesian Journal of …, 2022 - academia.edu
Three-dimensional (3D) geometric model shapes blending method can create various in-
between models from two inputs of models shapes. Though, many blended shapes are …

[PDF][PDF] Compressed sensing with continuous parametric reconstruction.

I Andráš, L Michaeli, J Šaliga - International Journal of …, 2021 - pdfs.semanticscholar.org
This work presents a novel unconventional method of signal reconstruction after
compressive sensing. Instead of usual matrices, continuous models are used to describe …

Analysis and Design of Compressive Pulsed Radar Based on Adaptive Pipelined Algorithm

S Ghanem, FAA Kader - IETE Journal of Research, 2022 - Taylor & Francis
Nowadays, applying the theory of compressive sensing in radar systems based on the
traditional Complex Approximate Message Passing (CAMP) algorithm has many …

A 3-D Imaging Method Of Building With Tomosar Based On DUADMM-Net

R Shen, S Wei, Y Wen, J Shi… - IGARSS 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Tomographic SAR (TomoSAR) can achieve 3-D imaging for observation targets through
tomographic synthetic aperture, and shows good characteristics in urban building …

[PDF][PDF] A review of optimisation and least-square problem methods on field programmable gate array-based orthogonal matching pursuit implementations

MMM Nadzri, A Ahmad - Indonesian Journal of Electrical …, 2022 - academia.edu
Orthogonal matching pursuit (OMP) is the most efficient algorithm used for the reconstruction
of compressively sampled data signals in the implementation of compressive sensing. OMP …

Design of Orthogonal Matching Pursuit Architecture based on Compressed Sampling Using FPGA

SS Bujari, SV Siddamal - 2020 3rd International Conference on …, 2020 - ieeexplore.ieee.org
In our work, a Field-programmable gate array (FPGA) based architecture for compressive
sensing using Orthogonal Matching Pursuit (OMP) algorithm is suggested. The storing and …