Performance Prediction for Airborne Multistatic Radar

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$749,914.00
Award Year:
2013
Program:
SBIR
Phase:
Phase II
Contract:
FA8650-13-C-1620
Award Id:
n/a
Agency Tracking Number:
F121-163-0069
Solicitation Year:
2012
Solicitation Topic Code:
AF121-163
Solicitation Number:
2012.1
Small Business Information
162 Genesee Street, Utica, NY, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
111305843
Principal Investigator:
Paul Rivkin
Principal Investigator
(315) 732-7385
rivkin@brsc.com
Business Contact:
Milissa Benincasa
Vice President
(315) 732-7385
benincasa@brsc.com
Research Institution:
Stub




Abstract
ABSTRACT: Development and deployment of airborne multistatic radar systems and the algorithms that control them can be greatly aided by accurate modeling and performance prediction. Capturing physical, electromagnetic and environmental real-world effects of multistatics in a simulation capability is imperative to achieve the desired benefits of this effort. Highly parameterized transmitter and receiver models with well-defined command and feedback interfaces, which are capable of real-time simulation, offer great utility to sensing system and control algorithm designers. Providing the ability to simulate the wide array of situations multistatic systems have to face (ex. varying transmitter cooperativeness, limitations on available emissions, hostile environments where passive operation is critical) allows for critical design decisions to be assessed. Relevant performance metrics must be developed and utilized to handle the complicated task of predicting the value of decision trades in radar design and algorithmic control. Black River proposes to develop an extensible model of passive multistatic radar with AMTI, GMTI, and SAR modes integrated with a closed-loop sensor manager simulation and tracking model, and a suite of performance measurement tools. A user interface is included to facilitate sensor architecture and system parameter trade studies, illuminator model library definition, and the construction of sensing environment test conditions. BENEFIT: An accurate and efficient simulation capability of airborne multistatic systems will help researchers and developers to streamline and enhance the processes of requirements definition, data collection / validation planning, and development of passive radar sensors and their intelligent control algorithms. Commercial entities could exploit this tool to identify applications where existing active sensors could be replaced with new passive systems satisfying system requirements, but which can be produced cheaper, with reduced payload (size weight, and power), and enhanced reliability.

* information listed above is at the time of submission.

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