LFA and CFLA Acoustic Sensors

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00024-13-P-4019
Agency Tracking Number: N131-050-0933
Amount: $80,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2013
Solicitation Year: 2013
Solicitation Topic Code: N131-050
Solicitation Number: 2013.1
Small Business Information
2840 North University Dr, Coral Springs, FL, -
DUNS: 004458871
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: Y
Principal Investigator
 Kevin Jones
 Senior Research Scientist
 (954) 331-4691
 kevin@aventusoft.com
Business Contact
 Kaustubh Kale
Title: Founder, manager
Phone: (954) 331-4691
Email: kaustubh@aventusoft.com
Research Institution
 Stub
Abstract
This Phase I project will develop an innovative signal processing and information processing concept for improved detection in acoustically noisy littoral waters using existing towed arrays or hull-mounted arrays. These relatively shallow waters have many sources of noise and interference which make it difficult to track the multiple targets with classical filtering approaches such as particle filters or Kalman filtering. It is a multisource problem because of background noise sources and the natural tendency of the multiple signals to overlap. This project proposes an evolutionary approach by building on currently-used detection algorithms using a new probabilistic framework to determine the instantaneous localization (azimuth, range, and depth) of multiple targets and their trajectories in the short-term by spatio-temporal clustering. Autonomous detection and localization using long-term signal clustering with the Bayesian Information Criterion allows targets to be tracked as they move through the noisy littoral space. Outputs from existing systems can also be directly processed by this framework to further improve sonar performance. The Phase I research objectives are to evaluate with underwater acoustic sounds and establish feasibility of the system for improved performance in active clutter reduction that reduces false alarms and improves performance in detection, classification, tracking, and displays.

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

Agency Micro-sites

SBA logo
Department of Agriculture logo
Department of Commerce logo
Department of Defense logo
Department of Education logo
Department of Energy logo
Department of Health and Human Services logo
Department of Homeland Security logo
Department of Transportation logo
Environmental Protection Agency logo
National Aeronautics and Space Administration logo
National Science Foundation logo
US Flag An Official Website of the United States Government