Advanced Radar Data Fusion - Multiple Input Multiple Output Sensor Acquisition (MIMOSA) System

Award Information
Agency:
Department of Defense
Branch
Missile Defense Agency
Amount:
$999,579.00
Award Year:
2008
Program:
STTR
Phase:
Phase II
Contract:
W9113M-08-C-0221
Agency Tracking Number:
B064-003-0150
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
ANDRO COMPUTATIONAL SOLUTIONS, LLC
Beeches Technical Campus, 7902 Turin Road, Ste. 2-1, Rome, NY, 13440
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
883336190
Principal Investigator:
Andrew Drozd
President/Principal Investigator
(315) 334-1163
adrozd@androcs.com
Business Contact:
Clifford Carroll
Acting Chief Scientist
(315) 334-1163
ccarroll@androcs.com
Research Institution:
SYRACUSE UNIV.
Stuart Taub
Office of Sponsored Programs
113 Browne Hall
Syracuse, NY, 13244
(315) 443-9356
Nonprofit college or university
Abstract
Radar targets provide a rich scattering environment that produces from 5-25 dB target fluctuations. The spatial dependence of target scattering means that targets produce essentially independent scattering returns when radiated from sufficiently different directions. Thus, if receivers are distributed over a wide enough area, which is the premise of the multiple input multiple output (MIMO) radar concept, the angular spread of the scattering can be exploited to obtain improved target tracking performance by combining these independent looks at the target. MIMOSA applies MIMO technologies leading to the development of a novel capability to autonomously collect, process, and fuse information from a variety of radars (either at the same or different frequencies and multiple perspectives) and from other sensors to form a single integrated picture of the surveillance volume. This provides an accurate and reliable method to support acquisition, track, discrimination, and engagement objectives of threatening objects across a spectrum of threat classes and environments, to obtain an accurate picture of the adversary threat cloud than any single sensor or group of sensors operating independently can offer.

* information listed above is at the time of submission.

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