High Fidelity Clutter Model for Active Sonar

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N65538-08-M-0099
Agency Tracking Number: N081-056-0538
Amount: $99,981.00
Phase: Phase I
Program: SBIR
Awards Year: 2008
Solicitation Year: 2008
Solicitation Topic Code: N08-056
Solicitation Number: 2008.1
Small Business Information
475 Bridge Street, Suite 100, Groton, CT, 06340
DUNS: 112716357
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Paul Koenigs
 Principal Scientist
 (860) 448-3253
Business Contact
 David Horne
Title: Sr Vice President/CFO
Phone: (860) 448-3253
Email: dhorne@aphysci.com
Research Institution
Active sonar clutter usually appears on a display as an amalgamation of point scatterers that exhibit both object and individual reflective and kinematic behavior. We propose to demonstrate the feasibility of constructing a realistic active sonar clutter model based on a few generalized concepts to synthesize most clutter types observed on Mid-Frequency active sonars. Realism is achieved by using the statistics of known clutter object attributes obtained from existing databases. The clutter model uses superellipsoids to define basic building blocks. Each type of clutter block is populated with discrete point scatters. The population, density, scattering coefficient, velocity, and fading characteristics of the scatterers are described using the appropriate statistics. The acoustic propagation response function for each scatterer is obtained using a high fidelity acoustic model. A realistic time series of a clutter object echo is obtained by convolving the transmit waveform with the system, propagation and clutter object response functions. Because all the functions, save one, are represented as delta functions, this is not computationally intensive. The model includes the effects of own ship motion, the specific sonar design, waveforms, and acoustic propagation including attenuation and multipath arrivals. The clutter exhibits deterministic and stochastically dependent, spatial, temporal, and intensity characteristics.

* information listed above is at the time of submission.

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