The Scientific World Journal

Compressed Sensing: Applications in Radar and Communications


Status
Published

Lead Editor

1Università della Calabria, Rende, Italy

2University of Coimbra, Coimbra, Portugal

3Università di Cassino e del Lazio Meridionale, Cassino, Italy


Compressed Sensing: Applications in Radar and Communications

Description

Compressed Sensing is an emerging approach exploiting the sparsity feature of a signal to give accurate waveform representation at reduced sampling rate, below the Shannon-Nyquist conditions, thus leading to efficient radar and communication systems, with reduced complexity and cost.

The aim of this special issue is to provide an international forum for experts and researchers working in the area of Compressed Sensing applied to radar and communication contexts, in order to explore the state-of-the-art of such techniques as well as to present new advanced concepts and results.

This special issue also welcomes the extended papers of CSRadCom 2014, First International Workshop on Compressed Sensing in Radar and Communications, http://www.aisti.eu/worldcist14/index.php/csradcom/.

Potential topics include, but are not limited to:

  • Compressed Sensing for signal processing
  • Compressed Sensing for synthetic aperture radar (SAR)
  • Compressed Sensing for MIMO architectures
  • Compressed Sensing for through-the-wall radar applications
  • Compressed Sensing for high-resolution radars
  • Compressed Sensing in wireless communications
  • Compressed Sensing for ultrawideband communications
  • Compressed Sensing for distributed networks
  • Computational aspects of compressive sensing

Practical demonstrations and actual measurements are highly encouraged. Full openness of all source code and data (following reproducible research principles) is required to allow readers the chance to reproduce results.


Articles

  • Special Issue
  • - Volume 2016
  • - Article ID 5407415
  • - Editorial

Compressed Sensing: Applications in Radar and Communications

Sandra Costanzo | Álvaro Rocha | Marco Donald Migliore
  • Special Issue
  • - Volume 2016
  • - Article ID 3137146
  • - Research Article

Compressed Sensing/Sparse-Recovery Approach for Improved Range Resolution in Narrow-Band Radar

Sandra Costanzo
  • Special Issue
  • - Volume 2015
  • - Article ID 151370
  • - Research Article

Estimation of Symmetric Channels for Discrete Cosine Transform Type-I Multicarrier Systems: A Compressed Sensing Approach

María Elena Domínguez-Jiménez | David Luengo | Gabriela Sansigre-Vidal
  • Special Issue
  • - Volume 2015
  • - Article ID 341619
  • - Research Article

Subspace Compressive GLRT Detector for MIMO Radar in the Presence of Clutter

Siva Karteek Bolisetti | Mohammad Patwary | ... | Mohamed Abdel-Maguid
  • Special Issue
  • - Volume 2015
  • - Article ID 949807
  • - Research Article

Support Detection for SAR Tomographic Reconstructions from Compressive Measurements

Alessandra Budillon | Gilda Schirinzi
  • Special Issue
  • - Volume 2015
  • - Article ID 262985
  • - Research Article

Improved TV-CS Approaches for Inverse Scattering Problem

M. T. Bevacqua | L. Di Donato
  • Special Issue
  • - Volume 2015
  • - Article ID 397878
  • - Research Article

Compressed Sensing in On-Grid MIMO Radar

Michael F. Minner
The Scientific World Journal
 Journal metrics
Acceptance rate23%
Submission to final decision60 days
Acceptance to publication65 days
CiteScore1.430
Impact Factor-
 Submit