Title
Compressed Remote Sensing of Sparse Objects
Abstract
The linear inverse source and scattering problems are studied from the perspective of compressed sensing. By introducing the sensor as well as target ensembles, the maximum number of recoverable targets is proved to be at least proportional to the number of measurement data modulo a log-square factor with overwhelming probability. Important contributions include the discoveries of the threshold aperture, consistent with the classical Rayleigh criterion, and the incoherence effect induced by random antenna locations. The predictions of theorems are confirmed by numerical simulations.
Year
DOI
Venue
2010
10.1137/090757034
SIAM JOURNAL ON IMAGING SCIENCES
Keywords
Field
DocType
compressed sensing,incoherence,threshold aperture,Rayleigh resolution,random sensor array
Aperture,Inverse,Modulo,Mathematical analysis,Angular resolution,Scattering,Mathematics,Compressed sensing
Journal
Volume
Issue
ISSN
3
3
1936-4954
Citations 
PageRank 
References 
50
3.47
19
Authors
3
Name
Order
Citations
PageRank
Albert C. Fannjiang111110.78
Thomas Strohmer21861122.72
Pengchong Yan3513.96