Optimized State Estimation Algorithms for Fast Hit-to-Kill Engagement

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$70,000.00
Award Year:
2005
Program:
SBIR
Phase:
Phase I
Contract:
W31P4Q-06-C-0171
Award Id:
74013
Agency Tracking Number:
A052-135-1551
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1220 Kennestone Circle, Suite E, Marietta, GA, 30066
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
149785201
Principal Investigator:
SusanDugas
Vice President
(770) 795-8181
susan.dugas@pra-corp.com
Business Contact:
SusanDugas
Vice President
(770) 795-8181
susan.dugas@pra-corp.com
Research Institute:
n/a
Abstract
Propagation Research Associates, Inc., (PRA) introduces two innovative algorithms to reduce fire control and missile filter transients in short time-of-flight guided missile engagements. A class of Smoothed Iterated Filters is developed as a more efficient implementation of the forward-backward filter and is shown to significantly reduce the impact of filter transients due to initialization error. PRA proposes a Maximum Likelihood Estimation (MLE) algorithm that is computationally efficient and minimizes filter transients. PRA also proposes to investigate the utility of other approaches such as Levinson Auto-Regression and use of external fire control radar data uplinked to the missile to provide improved filter initial states which, in combination with the Smoothed Iterated Filter and/or MLE, will achieve even more reduction in filter transient response. Basically, filter transients are a function of the accuracy of the initial parameters of a filter. For the Kalman filter, the initial parameters consist of a state vector and a covariance matrix. The Smoothed Iterated Filters and MLE provide algorithms that improve the initial state and covariance estimates using the available measurements onboard the missile interceptor. Also, using external data that can be uploaded to the missile either pre-launch or post-launch has the potential to improve filter initialization.

* information listed above is at the time of submission.

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