Ladar Algorithm for Lethal Objects (LALO)

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: N00178-04-C-3072
Agency Tracking Number: B041-013-0586
Amount: $99,996.00
Phase: Phase I
Program: SBIR
Awards Year: 2004
Solicitation Year: 2004
Solicitation Topic Code: MDA04-013
Solicitation Number: 2004.1
Small Business Information
655 Deep Valley Drive, Suite 335, Rolling Hills Estate, CA, 90274
DUNS: 625432679
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 G. Newton Freeman
 Principal Investigator
 (310) 541-1933
 gnf@aero-optics.com
Business Contact
 G. Freeman
Title: President
Phone: (310) 541-1933
Email: gnf@aero-optics.com
Research Institution
N/A
Abstract
Advanced interceptor seekers with active ladar systems offer enhanced capabilities for target acquisition, discrimination, tracking, and targeting of a lethal object within a ballistic missile threat train including off-nominal threats and countermeasures. Full exploitation of these capabilities requires robust ladar algorithms to enhance seeker decision functions that include far-range ladar cuing, target acquisition/tracking, optimum handover, enhanced discrimination, aimpoint selection, and end game countermeasure mitigation. Algorithms are required to support laser augmentation of multiband passive sensors including non-coherent/coherent systems and active/passive fusion for improved seeker performance including mitigation of diffuse-scattering and laser-speckle effects. The proposed investigation will evaluate competing seeker/algorithm concepts through end-to-end dynamic simulation of a ballistic missile threat train as perceived over time by the interceptor seeker. The simulation will include the position/orientation dynamics and passive/active signatures of lethal/non-lethal objects and the associated seeker/algorithm response for acquisition, discrimination, tracking, and targeting of the lethal object. The investigation will consider realistic threat ensembles, deployment sequences, and background conditions to ensure algorithm robustness.

* Information listed above is at the time of submission. *

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