Title
Multipath Exploitation and Suppression for SAR Imaging of Building Interiors: An overview of recent advances
Abstract
Multipath that involves target scattering is an important phenomenon in synthetic aperture radar (SAR). It is highly pronounced in imaging of building interiors due to the presence of walls, ceilings, and floors surrounding the targets of interest. Multipath attributed to targets is a special type of clutter, which can be either suppressed or exploited. The latter has been the subject of many recent works in the area of SAR imaging and has led to tangible improvements in target detection and localization. In this article, we consider state-of-the-art multipath suppression and exploitation approaches, present their corresponding analytical models, and highlight their respective requirements, assumptions, and offerings. Both conventional and compressive sensing-based approaches are discussed, where the latter assumes the presence of a few behind-the-wall targets.
Year
DOI
Venue
2014
10.1109/MSP.2014.2312203
Signal Processing Magazine, IEEE  
Keywords
Field
DocType
buildings (structures),compressed sensing,electromagnetic wave scattering,hidden Markov models,interference suppression,multipath channels,object detection,radar imaging,radar interference,synthetic aperture radar,SAR imaging,analytical models,behind-the-wall targets,building interiors,compressive sensing-based approaches,multipath exploitation,multipath suppression,synthetic aperture radar,target detection,target localization,target scattering
Multipath propagation,Computer vision,Radar imaging,Clutter,Synthetic aperture radar,Computer science,Inverse synthetic aperture radar,Scattering,Artificial intelligence,Hidden Markov model,Compressed sensing
Journal
Volume
Issue
ISSN
31
4
1053-5888
Citations 
PageRank 
References 
15
0.72
12
Authors
4
Name
Order
Citations
PageRank
Michael Leigsnering11037.33
Moeness Amin22909287.79
Fauzia Ahmad365164.26
Abdelhak M. Zoubir431647.52