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Performance Prediction for Airborne Passive Multistatic Radar

Award Information

Agency:
Department of Defense
Branch:
N/A
Award ID:
Program Year/Program:
2013 / SBIR
Agency Tracking Number:
F121-163-1739
Solicitation Year:
2012
Solicitation Topic Code:
AF121-163
Solicitation Number:
2012.1
Small Business Information
Matrix Research Inc
1300 Research Park Dr Dayton, OH -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2013
Title: Performance Prediction for Airborne Passive Multistatic Radar
Agency: DOD
Contract: FA8650-13-C-1611
Award Amount: $747,013.00
 

Abstract:

ABSTRACT: Interest in bistatic radar, where the transmitter and receiver are not collocated, has historically waxed and waned, and is once again enjoying a resurgence. A multistatic system is one where multiple transmit sites or multiple receive sites, or both, are used to construct the radar picture. A passive radar system is one where the radar designer and user do not control the radio frequency (RF) transmissions. This effort will develop a capability to model and predict the performance of bistatic and multistatic radar systems using one or more airborne receivers and one or more airborne or ground-based transmitters. Radar modes to be analyzed include Air Moving Target Indication (AMTI), Ground Moving Target Indication (GMTI), and Synthetic Aperture Radar (SAR). A capability to model and predict the performance of these systems is critical to future development and deployment. Analysis of airborne multistatic systems is significantly more complex than that of ground-based systems. The problem also becomes more difficult when the goal is passive operation; however, being passive provides added survivability since there are no transmitted waveforms to be detected. Passive radar systems have traditionally been developed to exploit a particular emitter. The vision of future systems is to adapt to the local RF emitters, dynamically developing a passive radar strategy which is suitable to the local RF environment. The algorithm which does this may be referred to as an Illuminator Selection Manager, and passive radar performance prediction is a critical component. A performance prediction model will also allow an assessment of the military utility of such systems by providing inputs to higher level simulations. The models developed under this effort should include the effects of items such as apertures and receivers, transmitted waveforms, signal processing algorithms, clutter, and relative motion of the transmitter, receiver, and target. The models should allow parameters describing the various aspects of the system performance to be easily varied. With this construct the models should easily accommodate different instantiations of multistatic radar systems past, present, and future. BENEFIT: Anticipated benefits include increased capability to design passive multistatic radar systems, assess threat systems, and develop illumination selection managers.

Principal Investigator:

Lee Patton
Sr. Staff Engineer
(937) 427-8433
lee.patton@matrixresearch.com

Business Contact:

Carri Miller
Contracts Manager
(937) 427-8433
carri.miller@matrixresearch.com
Small Business Information at Submission:

Matrix Research Inc
1300 Research Park Dr Dayton, OH -

EIN/Tax ID: 542186986
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No