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Feature-Aided Tracking, Detection, and Identification of Moving Targets Using…

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
86646
Program Year/Program:
2008 / SBIR
Agency Tracking Number:
F073-069-0581
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Goleta Star LLC
P O Box 1465 Lomita, CA 90717
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2008
Title: Feature-Aided Tracking, Detection, and Identification of Moving Targets Using Synthetic Aperture Radar (SAR)
Agency / Branch: DOD / USAF
Contract: FA8650-08-M-1343
Award Amount: $100,000.00
 

Abstract:

Goleta Star LLC with support from academia, Quinstar and other supporting businesses proposes to develop advanced capability for feature-aided tracking, detection and ID of Moving Targets using SAR. This effort is concerned with single or dual receiver channel SAR data processing to detect, track and image moving targets in real time. For this purpose, we propose a subaperture-based method via which a Moving Target Indicator (MTI) is generated based on a rapidly-formed range-azimuth image of the interrogated scene. To improve the system sensitivity to detect subtle targets (such as dismounts), we propose the use of a nonlinear flight path. A nonlinear flight path also improves the system capability to detect targets that move at variety of directions. This in turn provides a better estimate of the moving target velocity vector for tracking and imaging purposes. The subaperture processing not only reduces the size of the data for analysis but also is the key for the hardware (RF) implementation of the algorithm for persistent and staring-mode airborne radar. Each individual subaperture data provide pertinent information regarding the moving targets in the imaging scene; however, the data extracted from each of the subapertures could be combined to get a better understanding of the dynamics of the interrogated moving targets. In addition to the data that may be provided by AFRL-WPAFB, Goleta Star can collect nonlinear SAR-MTI data with its Ka-band UAV radar, even during Phase I.

Principal Investigator:

Mehrdad Soumekh
PI
3012639057
msoum@eng.buffalo.edu

Business Contact:

John Kirk
VP
3108912435
jckirkjr@aol.com
Small Business Information at Submission:

GOLETA STAR LLC
24085 Garnier St Torrance, CA 90505

EIN/Tax ID: 260196608
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No