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Improved Detection, Localization, and Classification of Torpedoes

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
Program Year/Program:
2013 / SBIR
Agency Tracking Number:
N131-047-0006
Solicitation Year:
2013
Solicitation Topic Code:
N131-047
Solicitation Number:
2013.1
Small Business Information
CHAOTIC.COM
P.O. Box 1010 Great Falls, VA -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2013
Title: Improved Detection, Localization, and Classification of Torpedoes
Agency / Branch: DOD / NAVY
Contract: N00024-13-P-4009
Award Amount: $79,966.00
 

Abstract:

By exploiting the high Doppler rate of torpedoes, low-latency, high-reliability, and high-mobility torpedo detection, classification and localization (DLC) can be accomplished with joint active-passive sonar signal processing using the hull array. Our system combines passive cues and a new active signal processing technology for deployed waveforms. The signal processing is carried out in real time within a common time-frequency representation for active-passive torpedo DLC but uses a novel technique, invented by chaotic.com, called Doppler-filtered pulse compression (DFPC). DFPC provides high probabilities of detection and correct classification while virtually eliminating confusable clutter. DFPC also provides the high Doppler and range resolution needed to spatially resolve salvos more efficiently than traditional high-resolution waveforms. To make reliable performance predictions for torpedo DLC, a method for extracting, validating, and generalizing highly realistic channel and target impulse response functions from legacy data is proposed.

Principal Investigator:

Rick Holland
Senior Fellow Scientist
(703) 276-4678
rick@chaotic.com

Business Contact:

Ted Frison
President
(703) 759-5257
ted@chaotic.com
Small Business Information at Submission:

chaotic.com
P.O. Box 1010 Great Falls, VA -

EIN/Tax ID: 541279568
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No