Compressive passive millimeter wave imager
Abstract
A compressive scanning approach for millimeter wave imaging and sensing. A Hadamard mask is positioned to receive millimeter waves from an object to be imaged. A subset of the full set of Hadamard acquisitions is sampled. The subset is used to reconstruct an image representing the object.
- Inventors:
- Issue Date:
- Research Org.:
- Argonne National Lab. (ANL), Argonne, IL (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1168680
- Patent Number(s):
- 8941061
- Application Number:
- 13/432,743
- Assignee:
- UChicago Argonne, LLC (Chicago, IL)
- Patent Classifications (CPCs):
-
G - PHYSICS G01 - MEASURING G01S - RADIO DIRECTION-FINDING
G - PHYSICS G01 - MEASURING G01K - MEASURING TEMPERATURE
- DOE Contract Number:
- AC02-06CH11357
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 42 ENGINEERING
Citation Formats
Gopalsami, Nachappa, Liao, Shaolin, Elmer, Thomas W, Koehl, Eugene R, Heifetz, Alexander, and Raptis, Apostolos C. Compressive passive millimeter wave imager. United States: N. p., 2015.
Web.
Gopalsami, Nachappa, Liao, Shaolin, Elmer, Thomas W, Koehl, Eugene R, Heifetz, Alexander, & Raptis, Apostolos C. Compressive passive millimeter wave imager. United States.
Gopalsami, Nachappa, Liao, Shaolin, Elmer, Thomas W, Koehl, Eugene R, Heifetz, Alexander, and Raptis, Apostolos C. Tue .
"Compressive passive millimeter wave imager". United States. https://www.osti.gov/servlets/purl/1168680.
@article{osti_1168680,
title = {Compressive passive millimeter wave imager},
author = {Gopalsami, Nachappa and Liao, Shaolin and Elmer, Thomas W and Koehl, Eugene R and Heifetz, Alexander and Raptis, Apostolos C},
abstractNote = {A compressive scanning approach for millimeter wave imaging and sensing. A Hadamard mask is positioned to receive millimeter waves from an object to be imaged. A subset of the full set of Hadamard acquisitions is sampled. The subset is used to reconstruct an image representing the object.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2015},
month = {1}
}
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