SBIR/STTR Research Award

Innovative Manufacturing Process Improvements

Award identifier 9d9978f67f307f900004885bcdc807eb617a52554c5db741979f51978a219268Awarding agency Department of Defense · Missile Defense Agency

Award amount

$97,924

Program and phase

SBIR · Phase I

Award year

2006

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Award details

Awarding agency
Department of Defense
Branch
Missile Defense Agency
Recipient company
INNOVATIVE BUSINESSS SOLUTIONS, INC.
Proposal award date
2006-04-06
Contract end date
2006-10-31
UEI
Not reported
Solicitation number
2005.3
Topic code
MDA05-019

Research abstract

Target discrimination capabilities using advanced seekers and seeker image processing is one layer of providing for advanced threats such as multiple target clusters. Multiple Kill Vehicles addressing a cluster of potential targets is another significant layer in the overall BMDO arsenal. IBSi is collaborating with STI Electronics, Inc of Madison, AL. and MilliSensor Systems and Actuators, Inc. of West Newton, MA as critical team members in this proposed effort. The tasks defined herein lead to a significant improvement in advanced miniature kill vehicle seeker imaging system capability as well as vehicle Guidance, Navigation and Control. The MKV Kill Vehicle (KV) program, which is presently base-lining a MEMS IMU, is a good candidate for a very compact integrated avionics and signal processor with embedded MEMS based IMU. The short duration mission lends itself to an IMU that has relatively larger drift rates compared to FOG based solutions but at an extremely beneficial volume and mass reduction. The objective of the proposed effort is to develop a fully functional MEMS sensor suite utilizing an embedded digital control loop implemented in a high performance Xilinx Virtex-4 FPGA. The sensor readouts will interface to an IMU block internal to the same FPGA package.

Technology keywords

Not reported

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Agency intelligence

Department of Defense

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