Sampling using a set of spatially distributed sensors finds extensive applications for environmental sensing. Environmental sensing can be either active or passive. Active sensing is achieved by transmitting probing signals and measuring target backscattering from, e.g., an airborne or ground-based vehicle, or an indoor robot. Passive sensing, on the other hand, aims at localizing emitters using signals of opportunity, including electromagnetic, acoustics, and ultrasound. Sparse arrays are under-sampled sensor arrays, in which several sensors are removed from the original configuration. Sparse arrays may create spatial aliasing, which can be avoided by optimizing sensor placements. In addition to the employed signal processing scheme, sensor placement affects the underlying inference performance. That is, non-optimal sensor placement configurations might lead to significantly low signal-to-noise or signal-to-interference ratios. Since the number of sensors typically dictates the number of costly front-end transmitters and receivers, sensing objectives are constrained by the limited number of available sensors and their permissible positions.
This Special Issue deals with optimum sparse arrays and sensor placement for environment sensing, including detection, localization, estimation, imaging and classification. It focuses on sparsity in the sensing, and not limited to sparse signal recovery. The Special Issue welcomes contributions in astronomy, structural health monitoring, radar and ultrasound imaging, wireless communications and 5G, graph signal processing, and other application areas.
Topics to be covered in this Special Issue include but are not limited to:
Sensor placement under a single or multiple objectives
Sensor placement using convex and submodular optimization methods
Knowledge-based and cognitive sparse array design
Hardware realization and design
Machine learning techniques for sensor placement
Sparse sampling for graphs and networks
Applications to sonar, radar, ultrasound imaging, MRI, radio astronomy, localization, speech enhancement, 5G and mmWave systems
Full paper submission: 15th September 2019
Notification of First Round of Review: 15th November 2019
Revised manuscript due: 15th December 2019
Lead Guest Editor:
Xiangrong Wang, Beihang University, China~
Fauzia Ahmad, Temple University, USA
Kutluyil Dogancay, University of South Australia, Australia
Sundeep Prabhakar Chepuri, Indian Institute of Science (IISc), India~
The submission system will be open around one week before the first paper comes in. When submitting your manuscript please select the article type \”SI: Sparse Arrays\” Please submit your manuscript before the submission deadline.
All submissions deemed suitable to be sent for peer review will be reviewed by at least two independent reviewers. Once your manuscript is accepted, it will go into production, and will be simultaneously published in the current regular issue and pulled into the online Special Issue. Articles from this Special Issue will appear in different regular issues of the journal, though they will be clearly marked and branded as Special Issue articles.
Please see an example here: https://www.sciencedirect.com/journal/science-of-the-total-environment/special-issue/10SWS2W7VVV
Please ensure you read the Guide for Authors before writing your manuscript. The Guide for Authors and the link to submit your manuscript is available on the Journal\’s homepage.