Acquisition, Tracking and Pointing Technologies

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$149,905.00
Award Year:
2012
Program:
SBIR
Phase:
Phase I
Contract:
HQ0147-12-C-7872
Award Id:
n/a
Agency Tracking Number:
B112-006-0039
Solicitation Year:
2011
Solicitation Topic Code:
MDA11-006
Solicitation Number:
2011.2
Small Business Information
Polaris Sensor Technologies, Inc. (Currently Polaris Sensor Technologies Inc.)
200 Westside Square, Suite 320, Huntsville, AL, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
Y
Duns:
129074840
Principal Investigator:
Arthur Lompado
Sr. Physicist
(256) 562-0087
art.lompado@polarissensor.com
Business Contact:
David Chenault
President
(256) 562-0087
david.chenault@polarissensor.com
Research Institution:
Stub




Abstract
Current acquisition, tracking and pointing (ATP) technology typically incorporates algorithms, such as the Kalman filter, known to be poorly suited to the tracking of nonlinearly moving targets. Nonlinearities may be due to target motion (e.g., agile target) but targeting platform induced jitter also manifests as target nonlinearity. Current and future mobile MDA assets such as ALTB and ABIR will assuredly impart jitter to an image stream that must be compensated to ensure accurate ATP. Algorithms well suited to nonlinear targeting strategies, such as the particle filter algorithm (PFA), can be used to broaden the ATP application space but are computationally expensive (i.e., slow). Polaris Sensor Technologies proposes to advance the PFA by incorporating a filtering component based on the Scale Invariant Feature Transform (SIFT) coupled to a Random Sample Consensus (RANSAC) algorithm. These algorithms are easily incorporated into the PFA framework and promise to improve both speed and accuracy of ATP tasks. The SIFT-RANSAC will remove jitter induced nonlinearities while the PFA will account for target nonlinearities. The combination has direct relevance to a number of MDA programs including legacy and future interceptors such as THAAD, SM3-IIB, and airborne surveillance assets such as ALTB and ABIR.

* information listed above is at the time of submission.

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