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Detection, Tracking and Classification of Multiple Targets using Advanced…

Award Information

Agency:
Department of Defense
Branch:
Army
Award ID:
57961
Program Year/Program:
2002 / SBIR
Agency Tracking Number:
A012-1116
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Information Systems Technologies, Inc.
5412 Hilldale Court Fort Collins, CO -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2002
Title: Detection, Tracking and Classification of Multiple Targets using Advanced Beamforming and Classification Methods
Agency / Branch: DOD / ARMY
Contract: DAAE30-02-C-1058
Award Amount: $69,947.00
 

Abstract:

"The problem of detection, classification and tracking of multiple vehicles in battlefield situations is the focus of this Phase I research. Typically, multiple unattended sparse passive acoustic arrays are exploited to monitor, track and identify thepotential targets. Although, the present technology is capable of successfully detecting, tracking and classifying single targets, extension to multiple targets especially when they are closely spaced pose many technical difficulties. As a result, newschemes are needed to provide fast and accurate detection and identification of different types of targets from passive arrays of acoustic sensors.To address this problem, we propose to study and develop dedicated methods for multiple target detection/classification and tracking. One primary criterion is to develop fast algorithms that don't make any a priori assumption about the number oftargets, target's dynamical information and initial conditions, and background interference and clutter. We will develop a subband-based direction of arrival (DOA) estimation method for better differentiation of different tonal features of the signaturesand a sequential Bayes method for target (vehicle) classification. The algorithms will be tested on several multiple target cases that involve various target scenarios, high density of clutter and correlated interference, and collected in differentenvironmental conditions. In battlefield situatio

Principal Investigator:

M. R. Azimi-Sadjadi
CEO
9702266706
infsyst@aol.com

Business Contact:

S. Sheedvash
COO
9702266706
infsyst@aol.com
Small Business Information at Submission:

Information Systems Technologies, Inc.
5412 Hilldale Court Fort Collins, CO 80526

EIN/Tax ID: 841477310
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No