Clutter Mitigation Techniques for Ground-Based, Gr

Award Information
Agency: Department of Defense
Branch: Army
Contract: W15P7T-10-C-B602
Agency Tracking Number: A092-073-0549
Amount: $69,994.00
Phase: Phase I
Program: SBIR
Awards Year: 2009
Solicitation Year: 2009
Solicitation Topic Code: A09-073
Solicitation Number: 2009.2
Small Business Information
101 Bleecker Street, Utica, NY, 13501
DUNS: 806603515
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Walter Szczepanski
 President
 (315) 732-0101
 walter.szczepanski@heliossensors.co
Business Contact
 Walter Szczepanski
Title: President
Phone: (315) 732-0101
Email: walter.szczepanski@heliossensors.co
Research Institution
N/A
Abstract
Helios Remote Sensing Systems and SRC, Inc. will investigate and validate innovative clutter mitigation techniques for clutter as seen from a radar sensor located near the Earth’s surface. The new techniques will operate effectively in highly non-Gaussian, variable, multifaceted, relatively intractable clutter. Radar operation for dismount detection ranges of 200 meters to 3 km from as low as 0.1 meter to 2 meters from the earth’s surface is of prime concern. Normalized Parametric Adaptive Matched Filter techniques will be investigated for application to multi-channel applications while Linear Predict Error Filter techniques will be investigated for single channel radar applications. These techniques, augmented with data-derived knowledge-aided processing and multiple pass processing, promise to significantly improve clutter suppression and significantly enhance detection of dismounts in severely non-homogeneous clutter environments. Micro-Doppler techniques adapted from previous sense-through-the-wall radar detection and imaging efforts will provide enhancement of target detection and classification. Two maximum likelihood azimuth angle estimators that are compatible with advanced space-time adaptive processing will be investigated to provide enhanced location accuracy. These proposed enhancements of the detection, classification and location of enemy combatants from either unmanned ground vehicles or from stationary positions will provide improved situational awareness to the warfighter.

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

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