Non-Gaussian Likelihood Detectors for Broadband Active Sonar

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$591,820.00
Award Year:
2005
Program:
SBIR
Phase:
Phase II
Contract:
N00024-04-C-4130
Award Id:
59470
Agency Tracking Number:
N02-029-02
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
6 New England Executive Park, Burlington, MA, 01803
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
094841665
Principal Investigator:
PeterWeichman
Principal Engineer
(781) 273-3388
pweichman@alphatech.com
Business Contact:
JohnBarry
Contracts Manager
(781) 273-3388
jbarry@alphatech.com
Research Institute:
n/a
Abstract
In shallow water environments or using broadband processing,detection statistics enerated from sonar data can exhibit highly non-Gaussian statistics due to the discrete nature of the returns from different clutter elements in different range resolution cells. Optimal likelihood detectors rely crucially on accurate estimation of the clutter distribution, and poor fits to an assumed Gaussian probability distribution function may lead to increased false alarm rates when the true PDF is heavy-tailed. We propose to implement a new class of physics-based models of non-Gaussian clutter statistics, developed under phase I of this effort, in order to construct improved likelihood detectors. Our approach smoothly interpolates between the low frequency regime (100 Hz to 1000 Hz) to mid and high frequency ranges. This is because our acoustic models have natural low, middle and high frequency implementations, and because of the adaptive nature of our models for the clutter returns. We also propose to develop criteria to optimize active waveforms for suppression of clutter interference. Finally, we propose to specialize the general development to the waveform and aperture characteristics of various tactical systems to demonstrate improved performance.

* information listed above is at the time of submission.

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