Target Characterization using McMODAF (Markov-chain Augmented Multiple-Modality Data Fusion) Technique

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9453-13-C-0041
Agency Tracking Number: F112-074-1294
Amount: $1,058,633.00
Phase: Phase II
Program: SBIR
Awards Year: 2013
Solitcitation Year: 2011
Solitcitation Topic Code: AF112-074
Solitcitation Number: 2011.2
Small Business Information
Advanced Systems & Technologies, Inc
23 Mauchly Suite 109, Irvine, CA, 92618-2330
Duns: 000000000
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Vladimir Markov
 President
 (949) 733-3355
 vmarkov@asatechinc.com
Business Contact
 Debra Hadley
Title: Dir. of Administration&
Phone: (949) 733-3355
Email: dhadley@asatechinc.com
Research Institution
 Stub
Abstract
ABSTRACT: The proposed technique employs a variety of sensors that combine data to form a comprehensive picture of a situation of interest. The goal is to increase the effectiveness of military surveillance by giving a more complete, integrated picture of situations to enable a quicker response while eliminating errors from potential failures of individual sensors. In Phase I of this program, AS&T developed and performed a proof-of-the-concept demonstration of decision-support operations based on the fusion of heterogeneous data. This was done by utilizing sensors with differing modalities, some typical for imaging (visible, MWIR, LWIR) and some associated with non-imaging detection. The collected data used was to demonstrate optimal methods of identification, discrimination and tracking of the target necessary to determine various aspects of its state and features for augmented space surveillance. During Phase II, we will extend the proposed technology and enhance the operational level of the software for data fusion. By designing and assembling an FPGA-based multi-sensor data-fusion platform, AS&T will be able to verify and optimize performance of the predictive system. The program will culminate with technology laboratory tests and field demonstrations in an operational environment. BENEFIT: The US military relies upon a diverse array of sensing resources to achieve enhanced space situation awareness. As a result, given the vast resources providing a war-fighter with information, the military incorporates stochastic algorithms into sensor fusion systems to process the sensors' information. Military applications include, but are not limited to remote sensing, active tracking of fast-moving targets including space objects (satellites, space debris), and cross-communication systems. Commercial sectors that are effectually use the multi-parametric sensor fusion technology include robotics, geospatial information systems, business intelligence, and a broad variety of medical applications, including diagnostics, recovery prognosis and optimal recovery estimates, etc.

* information listed above is at the time of submission.

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