SBIR-STTR Award

INNRTS
Award last edited on: 7/16/2007

Sponsored Program
SBIR
Awarding Agency
DOD : AF
Total Award Amount
$99,944
Award Phase
1
Solicitation Topic Code
AF071-351
Principal Investigator
Arthur A DeCarlo

Company Information

Systran Federal Corporation

4027 Colonel Glenn Highway Suite 210
Dayton, OH 45431
   (937) 429-9008
   nagu@systranfederal.com
   www.systranfederal.com
Location: Single
Congr. District: 10
County: Green

Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
2007
Phase I Amount
$99,944
Reconstruction of a target's location in time and space is crucial to the functionality of a tracking system used in warfare. One commonly-used approach to position and velocity estimation is Kalman filtering; however, the traditional Kalman filter has problems relating to bias errors, filter divergence, and filter parameter tuning. Artificial Neural Networks (ANNs) can be used to solve these problems through covariance estimation of input noise or by making predictions from a training set. Phase I of this research and development effort is to analyze the feasibility of an ANN-based online adaptive Kalman filter and its alternatives; a variety of solutions will be developed in order to optimize the target-tracking problem for different criteria. In Phase II, a working prototype using one or more of these solutions will be implemented to track multiple targets in near-real-time. Systran Federal Corp. (SFC) has assembled a distinguished team to address this proposal. In conjunction with our research partner, University of Missouri-Rolla (UMR), we are proposing a novel and innovative approach to meeting the demanding requirements listed in the solicitation. At the conclusion of Phase II, we plan to have a pre-production version of our product ready for immediate deployment in selected applications.

Keywords:
Tracking, Intelligence, Artificial Neural Networks, Algorithm, Kalman Filtering, Machine Learning, Adaptive Filters

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
----
Phase II Amount
----