Real-time In-situ Adaptation of Decision Parameters for Undersea Target Tracking in a Sensor Field

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-11-C-0473
Agency Tracking Number: N10A-038-0383
Amount: $1,487,500.00
Phase: Phase II
Program: STTR
Awards Year: 2011
Solitcitation Year: 2010
Solitcitation Topic Code: N10A-T038
Solitcitation Number: 2010.1
Small Business Information
Intelligent Automation, Inc.
15400 Calhoun Drive, Rockville, MD, 20855
Duns: 000000000
Hubzone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Renato Levy
 Chief Scientist
 (301) 294-5241
 rlevy@i-a-i.com
Business Contact
 Mark James
Title: Director, Contracts and P
Phone: (301) 294-5221
Email: mjames@i-a-i.com
Research Institution
 The Pennsylvania State University
 Asok R Ray, Ph.D.,
 The Pennsylvania State Univers
329 Reber Building
University Park, PA, 16802
 (814) 865-6377
 Nonprofit college or university
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.

* information listed above is at the time of submission.

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