Through Strike Battle Damage Assessment using Synthetic Aperture Radar

Award Information
Agency:
Department of Defense
Amount:
$0.00
Program:
SBIR
Contract:
DAAH01-02-C-R213
Solitcitation Year:
N/A
Solicitation Number:
N/A
Branch:
Defense Advanced Research Projects Agency
Award Year:
2002
Phase:
Phase I
Agency Tracking Number:
00SB2-0145
Solicitation Topic Code:
N/A
Small Business Information
Alphatech, Inc.
6 New England Executive Park, Burlington, MA, 01803
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
094841665
Principal Investigator
 Stephen Crooks
 Principal Investigator
 (781) 273-3388
 scrooks@alphatech.com
Business Contact
 Andrew Mullin
Title: Gen Counsel & Dir of Cont
Phone: (781) 273-3388
Email: andy.mullin@alphatech.com
Research Institution
N/A
Abstract
"We propose novel data-adaptive approaches for processing synthetic aperture radar (SAR) phase history data to automatically assess subtle damage inflicted by small sub-munitions on military ground vehicles. These techniques are designed for a battlefieldscenario in which the ground vehicle under attack is illuminated by a stand-off airborne SAR sensor before, during and after the weapon strike, all in a continuous-dwell collection mode. The technology we propose complements baseline algorithms thatALPHATECH is already developing under DARPA's Real-Time Battle Damage Assessment program. To detect weapon impact, we will use an advanced autoregressive approach to estimate and remove the stationary target skin-line response and then enhance residualsarising from transient oscillations. To help predict overall system performance and identify key design trades, we will also conduct studies to assess the fundamental detectability of the transient signature as a function of sensor parameters (frequencybandwidth, SINR, etc.) and target response (frequency, duration, amplitude, etc.) The goal of this study will be to formulate a radar equation for through-strike BDA. Finally, we will use a new signal processing technique, termed Adaptive BackgroundCancellation (ABC) to localize the target signature changes. We propose a systematic, comprehensive plan to characterize the robustness of the algorithms and to demonstrate a real-time capabili

* information listed above is at the time of submission.

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