Ladar Polarized Signature Technique (LAPSIT) for Plume Environments

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: FA9101-04-M-0022
Agency Tracking Number: B041-026-0359
Amount: $99,884.00
Phase: Phase I
Program: SBIR
Awards Year: 2004
Solicitation Year: 2004
Solicitation Topic Code: MDA04-026
Solicitation Number: 2004.1
Small Business Information
135 S. Taylor Avenue, Louisville, CO, 80027
DUNS: 149375479
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Terry Nichols
 Research Scientist II
 (303) 604-2000
Business Contact
 Tim Carrig
Title: Director Research & Devel
Phone: (303) 604-2000
Research Institution
Coherent Technologies Inc. (CTI), proposes to develop a novel technique for modeling coherent ladar signatures of objects (e.g., post-boost vehicles, re-entry vehicles, and debris) through missile effluent plumes and debris. Polarized object hardbody signatures from CTI's ladar signature tools will be integrated with polarized plume signatures from modified standard plume and scattering codes. Existing plume models, like CHAMP/CHARM, will be used for initial time-dependent mass density distributions, driven by their SPF flow-field model. In Phase 1, CHAMP model output will be modified to account for non-spherical particle shapes. Given this, polarized returns from unresolved hardbodies embedded within the plume will be synthesized which will enable the magnitude of the shape-driven errors to be estimated. In addition, range-resolved Doppler analyses of the plume and target will be made to assess target discrimination capability. Conceptual design of a physics-based, composite scattering and flow-field-driven model will be delivered. Test scenarios will include transient-event signatures and debris. For Phase II, a detailed design and prototype physics-based model will be delivered that interfaces with customized plume and hardbody signature models that account for the plume flow-field, asymmetrical particle shape and size distribution and polarization. Output from these models will be validated and tested against real-world data.

* information listed above is at the time of submission.

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