Innovative Sensing Techniques for Urban Operations

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$742,081.00
Award Year:
2008
Program:
SBIR
Phase:
Phase II
Contract:
FA8650-08-C-1410
Agency Tracking Number:
F071-249-0818
Solicitation Year:
2007
Solicitation Topic Code:
AF071-249
Solicitation Number:
2007.1
Small Business Information
TECHNOLOGY SERVICE CORP.
1900 S. Sepulveda Blvd, Suite 300, Los Angeles, CA, 90025
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
053885604
Principal Investigator:
Don Woods
Prinicipal Staff
(310) 954-2200
don.woods@tsc.com
Business Contact:
Lee Moyer
Vice-president
(703) 995-9553
lee.moyer@tsc.com
Research Institution:
n/a
Abstract
The goal of the proposed Phase II work is to advance the development of ultra narrowband (UNB) multistatic systems for urban environments by developing algorithms, simulating radar performance, performing design tradeoff studies, and building a basic data collection system. The TSC program includes five tasks: 1) Investigate and develop tomographic algorithms with the objective of understanding the effects of real-world spatial diversity and propagation phenomena. 2) Provide a software capability for computing radar signatures of dismounts in various states, which can be used to predict performance in urban environments for various bistatic radar configurations. 3) Determine the performance tradeoff for UNB multistatic radar configurations, and provide estimates of the system’s timing and coherence requirements, transmitter and receiver position accuracy, network communications requirements, and other factors related to the fielding of the radar system. 4) Assess system performance using TSC’s own radar siting tools, including the effects of lost radar or communications nodes. 5) Develop a reconfigurable, low-cost bistatic UNB system capable of emulating alternative multistatic UNB radar configurations through the use of time-sequential measurements, and use this system at TSC’s facility to collect UNB multistatic data for input to the performance assessment and modeling validation tasks.

* information listed above is at the time of submission.

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