Fast Algorithms for Impact Point Prediction of Rocket, Artillery and Mortar Trajectories

Award Information
Agency: Department of Defense
Branch: Army
Contract: W31P4Q-06-C-0163
Agency Tracking Number: A052-148-3389
Amount: $70,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2006
Solicitation Year: 2005
Solicitation Topic Code: A05-148
Solicitation Number: 2005.2
Small Business Information
Suite A, 75 Aero Camino, Goleta, CA, 93117
DUNS: 054672662
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Craig Agate
 Senior Analyst
 (805) 968-6787
Business Contact
 Marcella Lindbery
Title: Director of Contracts and Finance
Phone: (805) 968-6787
Research Institution
In many security operations such as protecting a military base from guerilla warfare-type attacks, there is a limited time to assess threats and take appropriate action. For example, warning soldiers of an impending mortar attack requires an early-detection system, an estimation algorithm that receives a limited number of measurements and, finally, a prediction algorithm that rapidly and accurately predicts the point of attack. While current radar technology addresses threat detection and verification, advanced estimation algorithms are needed to rapidly and accurately estimate the state of a projectile with limited observations, rendering impact point prediction as reliable as possible. Toyon Research proposes to develop algorithms that enhance existing counter-fire radar systems with trajectory prediction of the incoming projectiles. Toyon will analyze several filtering and impact point prediction algorithms and identify those algorithms that have the potential to meet the required specifications. The algorithms will be developed and analyzed in Toyon's SLAMEM simulation environment, a simulation that has extensive models of sensors, terrain, roads, buildings, ground vehicle motion, weapon trajectories, etc. Toyon will outline and execute a development path towards a realtime operational algorithm. Finally, Toyon will develop an optimization algorithm for the placement of available sensors to maximize the system performance.

* Information listed above is at the time of submission. *

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