Sparse Aperture Image Recovery from Auto and Cross Correlation Data

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$99,981.00
Award Year:
2006
Program:
SBIR
Phase:
Phase I
Contract:
FA9451-06-M-0141
Award Id:
78866
Agency Tracking Number:
F061-011-2325
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
2021 Girard SE, Suite 150, Albuquerque, NM, 87106
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
794350025
Principal Investigator:
RobertButts
Senior Scientist
(505) 245-9970
butts@mza.com
Business Contact:
RobertPraus II
President
(505) 245-9970
praus@mza.com
Research Institute:
n/a
Abstract
MZA proposes to evaluate a recently published innovative concept that holds great promise for recovery of space object images from sparse telescope array pupil plane sensor data. The technique exploits both auto and cross correlations of data from two wave front sensors mounted on each telescope that measure the amplitude and phase of reflected laser illumination in each of two orthogonal polarizations. MZA is teamed with the inventors of the concept, Professors Dave Voelz of New Mexico State University and Tim Schulz of Michigan Tech University to evaluate its potential for this application. The evaluations will rely heavily on wave optics computer simulations that include the key features of such an imaging system. Simulated WFS data will be generated and input to the image recovery algorithm, and the estimated images will be compared to the objects used in the simulations to synthesize the data. Parameter studies will address the key technical issues for the approach and identify top level system parameters for a system scalable to the required 10 - 30 meter size. A preliminary experiment plan will be developed to support a possible Phase II to conduct laboratory demonstrations of the concept.

* information listed above is at the time of submission.

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