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Algorithm for Optimum Wake Detection with a Polarimetric Radar Imaging System (DTP-0344)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-05-C-0003
Agency Tracking Number: N031-0009
Amount: $1,613,570.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: N03-013
Solicitation Number: 2003.1
Solicitation Year: 2003
Award Year: 2004
Award Start Date (Proposal Award Date): 2004-11-05
Award End Date (Contract End Date): 2006-11-05
Small Business Information
21311 Hawthorne Blvd. Suite 300
Torrance, CA 90503
United States
DUNS: 081116725
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Scott Grossman
 Program Manager
 (310) 543-5433
Business Contact
 Thomas Liesy
Title: Chief Financial Officer/C
Phone: (310) 543-5433
Research Institution

Dynamics Technology, Inc. and its subcontractor, Lambda Science, Inc., will develop models and algorithms for maritime target detection in order to predict operational performance and to support requirements definition and engineering specifications for the BAMS UAV radar. Sea spikes from breaking waves are the biggest hindrance to radar detection of small surface targets, such as small boats, from high altitude and high grazing angle. We will extend existing clutter models, which have been developed to describe radar imagery, to MTI processing and validate them using program data. To reduce false alarms from the levels currently observed by the Global Hawk ISS and to achieve detection against targets with radar cross sections as small as 0.1 m2, we will develop algorithms for combining point target detection (small boats) with detection of their wakes. We will assess detection performance based on standard processing methods like STAP, and we will address the potential for better performance using alternative algorithms that may incorporate physical models of ocean clutter. We will incorporate engineering analysis of radar systems to ensure that predicted performance is consistent with a radar design that could be implemented on the BAMS-UAV.

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

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