SBIR-STTR Award

Air-to-Air Targeting Algorithms for Turreted Gun Systems
Award last edited on: 5/7/2014

Sponsored Program
SBIR
Awarding Agency
DOD : Army
Total Award Amount
$1,149,981
Award Phase
2
Solicitation Topic Code
A12-099
Principal Investigator
Andrew Thies

Company Information

Radiance Technologies Inc

350 Wynn Drive
Huntsville, AL 35805
   (256) 704-3400
   N/A
   www.radiancetech.com
Location: Multiple
Congr. District: 05
County: Madison

Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
2013
Phase I Amount
$149,982
Continuing development of airborne threats has increased risk for military rotorcraft. Development of air to air targeting algorithms for a stabilized turreted gun systems has not kept pace with technology and improvements are needed to be effective against aerial systems. Military helicopters use machine guns as offensive and defensive weapons against air and ground targets. However, they have challenges in targeting airborne targets where the target is moving rapidly in three directions. Targeting errors have many sources such as tracking errors, winds, turret pointing errors. New air to air targeting algorithm approaches need to account for errors such as these to increase the accuracy. We propose the development of air-to-air targeting algorithms for a turreted gun systems such as are found on the AH-64D helicopter to achieve air-to-air accuracies equivalent to current air-to-ground accuracies with graceful degradation as error increase.

Keywords:
Guns, Helicopter, Air-To-Air, Fire Control, Targeting, Algorithms, Airburst, Unmanned Aircraft Systems (Uas), Tracking

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
2014
Phase II Amount
$999,999
Continuing development of airborne threats has increased risk for military rotorcraft. Development of air to air targeting algorithms for a stabilized turreted gun systems has not kept pace with technology and improvements are needed to be effective against aerial systems. Military helicopters use machine guns as offensive and defensive weapons against air and ground targets. However, they have challenges in targeting airborne targets where the target is moving rapidly in three directions. Targeting errors have many sources such as tracking errors, winds, turret pointing errors. New air to air targeting algorithm approaches need to account for errors such as these to increase the accuracy. We propose the development of air-to-air targeting algorithms for a turreted gun systems such as are found on the AH-64D helicopter to achieve air-to-air accuracies equivalent to current air-to-ground accuracies with graceful degradation as error increase.

Keywords:
guns, helicopter, air-to-air, fire control, targeting, algorithms, airburst, Unmanned Aircraft Systems (UAS), tracking