Performance Prediction for Airborne Multistatic Radar

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$149,996.00
Award Year:
2012
Program:
SBIR
Phase:
Phase I
Contract:
FA8650-12-M-1456
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:
PaulRivkin
Principal Investigator
(315) 732-7385
card@brsc.com
Business Contact:
MilissaBenincasa
Vice President
(315) 732-7385
benincasa@brsc.com
Research Institute:
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. Past, present, and future multistatic sensing systems can be modeled and controlled to assess performance capabilities in real-world scenarios. 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. Extensive 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. The results of this effort will demonstrate the capacity to achieve measured results comparability through accurate and efficient simulation. BENEFIT: An accurate and efficient simulation capability of airborne multistatic systems will aid in the development and deployment of radar systems and their intelligent control algorithms. Benefits to applications such as passive sensing, commercial transmitter exploitation, electromagnetic interference modeling and accountability, intelligent exploitation of emitters of interest, and passive imaging can be achieved for government and commercial needs.

* information listed above is at the time of submission.

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