Through the Sensor Active Sonar Enhancement

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$742,563.00
Award Year:
2013
Program:
SBIR
Phase:
Phase II
Contract:
N00014-13-C-0068
Agency Tracking Number:
N112-150-0469
Solicitation Year:
2011
Solicitation Topic Code:
N112-150
Solicitation Number:
2011.2
Small Business Information
Metron, Inc.
1818 Library Street, Suite 600, Reston, VA, -
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
107939233
Principal Investigator:
Terence Bazow
Senior Manager
(703) 326-2831
bazow@metsci.com
Business Contact:
Eric George
CFO
(703) 326-2838
egeorge@metsci.com
Research Institution:
Stub




Abstract
This Through the Sensor Active Sonar Enhancement SBIR aims to develop algorithms for in-situ adaptive sonar performance prediction. These algorithms will provide spatially and temporally varying estimates for terms in the sonar performance prediction equation such as clutter, signal-to-noise ratio (SNR), probability of detection (PD), and false alarm rate (FAR). The primary purpose of these estimates is to provide statistical distributions for the terms in the sonar equation. These distributions, referred to as sonar equation maps (SE-MAPs), characterize the expected value and its uncertainty over space and time and can be used for sonar performance prediction for system design and for real-time operation of warfare systems. Operationally, the SE-MAPs will used as input to space-time adaptive processing (STAP) algorithms for data normalization (also referred to as whitening) and suppression of clutter and other unwanted noise sources. Data normalization is a critical processing component of Information Processing (IP) streams, providing the means for effective and robust target detection, tracking and classification. The SE-MAPs can combine historical data from disparate sensor surveillance platforms to produce fused geospatial-temporal distributions for use by operational sensor systems and for system development and design.

* information listed above is at the time of submission.

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