Platform Noise Reduction

Award Information
Agency: Department of Defense
Branch: Army
Contract: DAAD17-01-C-0017
Agency Tracking Number: A002-0616
Amount: $119,795.00
Phase: Phase I
Program: SBIR
Awards Year: 2001
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
P.O. Box 787, Severna Park, MD, 21146
DUNS: 958055055
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Laurence Riddle
 (410) 431-7148
Business Contact
 Laurence Riddle
Title: President
Phone: (410) 431-7148
Research Institution
For acoustic sensors to have sufficient detection ranges on future combat systems, a platform noise reduction system that achieves near ambient noise levels is needed. The overall objective of this project is to demonstrate the feasibility of platformnoise reduction using noise cancellation sensors and algorithms. During Phase I Signal Systems Corporation will collect data on either a HMMWV or an unmanned vehicle. We will determine noise sources, and the spatial coherence of the noise field underdifferent platform operating conditions. We will investigate new acoustic array designs with improved platform noise suppression; examine noise reduction techniques applicable to moving conditions; and demonstrate (off-line) broadband noise reduction. Wewill develop a preliminary design for a high frequency noise reduction system applicable to acoustic shock wave processing. Technical results included in the Phase I effort are noise reduction versus vehicle speed; noise reduction versus algorithmapproach; noise reduction versus number of array and reference sensors, and self-noise classification features that discriminate between near and far-field acoustic signatures. The results of our Phase I effort will have addressed the critical risk areasof this project and provide a solid foundation for a real-time prototype effort in Phase II.Our approach will enable maximum platform noise reduction onboard future combat vehicles, such as reconnaissance unmanned vehicles. By making acoustic sensorseffective, we can provide an all-weather, all-time surveillance capability that helps to queue infrared and visual sensors without the cost, power and weight associated with radar processors. This technology will also improve speech recognition performancein the wireless and handheld information appliance products.

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

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