SBIR/STTR Research Award

Development of Analysis Techniques for Predicting Magnetic Anomaly Detection (MAD) Equipped UAV Performance in Naval Anti-Submarine Warfare Environmen

Award identifier d0d613630639dce493eb59d81be944b35eb947f1337fafdc8e6ac65556d959e8Awarding agency Department of Defense · Navy

Award amount

$79,818

Program and phase

SBIR · Phase I

Award year

2014

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
Applied Science Corporation
Proposal award date
2014-05-13
Contract end date
2014-11-14
UEI
Not reported
Solicitation number
2014.1
Topic code
N141-010

Research abstract

Currently there is no tactical decision aid (TDA) for magnetic anomaly detection (MAD). Since the P-8A has no MAD capability, the planned approach to the localization phase of anti-submarine warfare (ASW) is to have the P-8A launch a MAD-equipped unmanned aerial vehicle (UAV). However, the mission commander has no way to determine the likelihood that the UAV will be able to re-detect and localize the submarine. MAD Operational Effectiveness (MOE) charts were used in the past as part of mission planning; however, there are many other considerations than geology noise. The proposed TDA includes Area of Uncertainty (AOU); AOU growth due to time late; submarine type, heading, speed, and depth; search platform capabilities; and environmental noises and effects. The following, most of which are based on location, can be predicted: geology noise, core field values, and gradients; geomagnetic noise; reference-sensor-aided geomagnetic-noise reduction; and wind profiles, along with wave noise and perhaps buffeting noise. The P-8 parameters and the AOU will be input into the TDA, and the TDA will calculate the time late, the optimal search pattern, and the detection probability, and will recommend launch/no launch.

Technology keywords

Not reported

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Agency intelligence

Department of Defense

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