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Real-time In-situ Adaptation of Decision Parameters for Undersea Target…

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
Program Year/Program:
2011 / STTR
Agency Tracking Number:
N10A-038-0383
Solicitation Year:
2010
Solicitation Topic Code:
N10A-T038
Solicitation Number:
2010.A
Small Business Information
Intelligent Automation, Inc.
15400 Calhoun Drive Suite 400 Rockville, MD 20855-2737
View profile »
Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2011
Title: Real-time In-situ Adaptation of Decision Parameters for Undersea Target Tracking in a Sensor Field
Agency / Branch: DOD / NAVY
Contract: N00014-11-C-0473
Award Amount: $743,750.00
 

Abstract:

Detection of moving targets in spatially-variable and uncertain environments is of prime importance in maritime intelligence, surveillance and reconnaissance (ISR) systems. However, the situational context may prohibit the placement of a single fixed long-term ISR system that can be fine-tuned to maximize performance in the area of interest. In such situations, distributed fields of passive sensor systems are often called for, as they allow the coverage of relatively large areas at a moderate cost. In this Phase II effort, the IAI and Penn State team will work in collaboration to achieve the following three objectives: 1) to develop algorithms that will improve the detection capability for sonar sensor networks as well as the models and algorithms for estimation of decision thresholds as needed for detection of moving targets in the undersea environment; 2) to develop a simulation and analysis capability that can be used to assess the merits of algorithms, networks, practices and equipment used in undersea sensor network operations; and 3) to demonstrate/evaluate the newly combined above technologies with use case scenarios. In particular, IAI will focus upon developing a reconfigurable and reusable simulation capability which Penn State will tailor to the specific problem of autonomous sensor search.

Principal Investigator:

Renato Levy
Chief Scientist
(301) 294-5241
rlevy@i-a-i.com

Business Contact:

Mark James
Director, Contracts and P
(301) 294-5221
mjames@i-a-i.com
Small Business Information at Submission:

Intelligent Automation, Inc.
15400 Calhoun Drive Suite 400 Rockville, MD -

EIN/Tax ID: 521497192
DUNS: N/A
Number of Employees:
Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
The Pennsylvania State University
The Pennsylvania State Univers
329 Reber Building
University Park, PA 16802-
Contact: Asok R. Ph.D.,
Contact Phone: (814) 865-6377