Radar Data Fusion for Single Integrated Air Picture (SIAP)-Data Fusion and Registration System (DataFusR)

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: FA8650-04-M-4220
Agency Tracking Number: B041-054-1793
Amount: $99,997.00
Phase: Phase I
Program: SBIR
Awards Year: 2004
Solitcitation Year: 2004
Solitcitation Topic Code: MDA04-054
Solitcitation Number: 2004.1
Small Business Information
ANDRO COMPUTATIONAL SOLUTIONS, LLC
Beeches Tech Campus, Bldg 3, Suite 4 7902 Turin Rd, Rome, NY, 13440
Duns: 883336190
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Andrew Drozd
 Chief Scientist
 (315) 334-1163
 andro1@aol.com
Business Contact
 Andrew Drozd
Title: President/Business Owner
Phone: (315) 334-1163
Email: androcs@borg.com
Research Institution
N/A
Abstract
Timely fusion of data collected from a variety of radars that acquire information from multiple perspectives and/or different frequencies, may provide a more accurate picture of the adversary threat cloud than any single radar or group of radars operating independently. Algorithms, software, and/or hardware that enable this synergistic fusion and interpretation of data from disparate GMD radars should enhance system acquisition, tracking and discrimination of threat objects in a cluttered environment and provide enhanced battle space awareness. Fusion of data at several levels may be required. Technical issues that must be addressed include: spatial and temporal registration of radars, data throughput within and between sensor platforms, processing speed and capacity, and sensor calibration. This effort is to develop algorithms, software, and/or hardware necessary to collect, process, and fuse information from multiple radars (either at the same or different frequency) to form a single integrated air picture (SIAP). The research to be performed in this effort will be in direct support of the BMDS-MDA/GM (Ground Based Midcourse) acquisition program to provide effective DataFusR technologies which would enable sensor and battlespace systems to autonomously perform real time data registration and fusion of multispectral and multiresolution radar data for precision target geolocation and identification. The DataFusR approach will apply a multisource data fusion (MSDF) simulation methodology to assess the viability of candidate registration/fusion schemes and to select the best one(s) to achieve the objectives of forming an SIAP.

* information listed above is at the time of submission.

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