A survey on the impact of multipath on wideband time-of-arrival based localization
Localization using the time-of-arrival (ToA) of a wideband signal has the potential to achieve
high accuracy, thereby making it a promising choice for a variety of applications. However, a …
high accuracy, thereby making it a promising choice for a variety of applications. However, a …
Evaluating compressive sensing algorithms in through-the-wall radar via F1-score
To achieve high resolution through-the-wall radar imaging (TWRI), long wideband antenna
arrays need to be considered, thus resulting in massive amounts of data. Compressive …
arrays need to be considered, thus resulting in massive amounts of data. Compressive …
Parametric dictionary learning for TWRI using distributed particle swarm optimization
This paper considers a distributed network of through-the-wall radars for accurate indoor
scene reconstruction in the presence of multipath propagation. A sparsity based method is …
scene reconstruction in the presence of multipath propagation. A sparsity based method is …
Efficient reformulation of image reconstruction with compressive sensing
AH Muqaibel - AEU-International Journal of Electronics and …, 2017 - Elsevier
Sparse reconstruction techniques are used with radar imaging to construct high resolution
images from a minimal amount of data. This reconstruction is computationally expensive …
images from a minimal amount of data. This reconstruction is computationally expensive …
Dynamic joint reconstruction of walls and targets in through-the-wall radar imaging
Multipath exploitation with compressive sensing (CS) has been successfully applied in
through-the-wall radar imaging (TWRI) given prior knowledge of the room geometry …
through-the-wall radar imaging (TWRI) given prior knowledge of the room geometry …
Through-the-wall radar imaging using a distributed quasi-Newton method
This paper considers a distributed network of through-the-wall imaging radars and provides
a solution for accurate indoor scene reconstruction in the presence of multipath propagation …
a solution for accurate indoor scene reconstruction in the presence of multipath propagation …
Nonconvex Representation Learning from Distributed Datasets
H Raja - 2019 - search.proquest.com
Data representation is an important information processing task which finds use in diverse
engineering applications like signal processing, machine learning, medical imaging, and …
engineering applications like signal processing, machine learning, medical imaging, and …