SBIR/STTR Research Award
Electric Field Sensing for UAV-based MAD Noise Mitigation
Award amount
$149,928Program and phase
STTR · Phase IAward year
2015Award details
- Awarding agency
- Department of Defense
- Branch
- Navy
- Recipient company
- White River Technologies Inc
- Proposal award date
- 2015-06-16
- Contract end date
- 2016-09-26
- UEI
- YXJZN4BVTC86
- Solicitation number
- 2015.0
- Topic code
- N15A-T004
Research abstract
White River Technologies, Inc. and Boston University propose a systematic R&D project that first develops the requirements for an E-field sensing solution based on our physical understanding of UAV-based MAD noise and then tailors design and development activities to those requirements. New Magnetic Anomaly Detection (MAD)-equipped unmanned aerial vehicle (UAV) systems that are organic to the P-8A or launched from other base platforms will provide a number of improvements over current airborne MAD systems, but also create new considerations that require modified or new/innovative approaches to effectively mitigate geomagnetic noise influences. For UAV-based MAD sensing, it may be possible to utilize an electric field sensor on the same platform as the MAD sensor in order to more efficiently mitigate geomagnetic noise. This effort brings together systematic analysis and assessments of airborne sensing and noise mitigation methods, decades of university research and development on electric field sensing, and innovative operational strategies for integrating small sensor payloads on unmanned systems to provide a new capability in support of Navy ASW and related missions.
Technology keywords
Not reported
Other awards by this recipient
Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.
- Magnetometer Data Processing for Subsea Noise Mitigation and Object Detection
- Remotely Operated Vehicle Non-acoustic Sensing Array For Obscured Littoral Seabed Threats
- Remotely Operated Vehicle Non-acoustic Sensing Array For Obscured Littoral Seabed Threats
- Low Size, Weight, Power, and Cost (SWAP-C) Magnetic Anomaly Detection (MAD) System
- Scalable Geophysical Simultaneous Localization and Mapping for Unmanned Undersea Vehicles