SBIR/STTR Research Award

Advanced Algorithms for Total Ship Monitoring Improvements

Award identifier 91b7c163eccbbdb079844edec28cfd3a6364e09bc01b30c2c9f411a0a1e6e1a3Awarding agency Department of Defense · Navy

Award amount

$600,000

Program and phase

SBIR · Phase II

Award year

2003

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
DIGITAL SYSTEM RESOURCES, INC.
Proposal award date
Not reported
Contract end date
Not reported
UEI
LDUJLC79HNK5
Solicitation number
Not reported
Topic code
Not reported

Research abstract

The Total Ship Monitoring System (TSMS) facilitates real-time assessment of acoustic stealth for all SSN and SSBN submarine classes. A highly portable software baseline has been established that facilitates affordable hardware technology refresh andevolving capability improvement.Advanced Algorithm Improvements Phase I results demonstrate significant improvements to data processing algorithms and operator displays that make TSMS more tactically useful and less operator intensive. Efforts focused on advancements in 1) improvedassessment of vulnerability to counter-detection, 2) improved estimation of aspect-dependent narrowband and broadband transfer function, 3) improved transient detection, 4) enhanced automation of operator tasks to locate and classify offending acousticsignals, and 5) integration of Hull Array sensors into the TSMS for improved identification and localization of on-board and off-board sounds.Phase II tasks will continue to address the topics of Phase I. Signal processing methods will be evaluated using recorded data collected from operational deployments. Improvements to the accuracy of transfer functions by use of new combinations ofexisting sensors, new sensors, and new sensor locations will be studied. Algorithms promising significant improvements in the tactical value of TSMS will be implemented into real-time software applications and prepared for transition to the productionTSMS baseline. The technology applied to the transient processing system is especially suited to signal processing tasks. It can be adapted to a variety of signal recognition tasks by selecting a suitable set of extracted features and training models to recognizespecific characteristics. As an example, the recognition system to be developed on Phase II is directly applicable to the SQQ-89A(V)15 TRAFS detection of threat targets. Using a high performance set of extracted features, the proposed method is expected toreduce false-alarm rate by specifically recognizing categories of non-threat contacts.

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.

Research funding history

88 SBIR/STTR records share this UEI (1988–2003). Reported award amounts total $30,370,987. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

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