Orthogonal Space Projection Processing with Optimized Waveform Selection for Discrete Clutter Mitigation

Award Information
Agency: Department of Defense
Branch: Army
Contract: W9113M-13-C-0032
Agency Tracking Number: A131-055-0570
Amount: $99,965.00
Phase: Phase I
Program: SBIR
Awards Year: 2013
Solicitation Year: 2013
Solicitation Topic Code: A13-055
Solicitation Number: 2013.1
Small Business Information
1275 Kennestone Circle, Suite 100, Marietta, GA, -
DUNS: 149785201
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 E. Holder
 (678) 384-3402
Business Contact
 Susan Dugas
Title: Vice President
Phone: (678) 384-3401
Email: contracts@pra-corp.com
Research Institution
PRA is proposing an innovative Orthogonal Space Projection (OSP) processing technology and a parallel processing architecture to adaptively cancel discrete clutter in real-time. The OSP technique utilizes adaptive waveform diversity with a suite of waveforms with low correlation time-sidelobes. In addition a unique phase differencing technique is used to identify the location of discrete clutter cells in the Range-Doppler map in order to create a matched and mis-matched projection space. These projection spaces are optimally combined to cancel discrete clutter in the Range-Doppler domain. Optimized waveforms are implemented that further reduce the impact of clutter by adaptively nulling appropriate Range-Doppler cells containing clutter in the time-sidelobes. PRA will define a parallel processing architecture that will compute multiple Range-Doppler maps and complete the OSP processing in real time. OSP can be implemented on a single dwell and does not require multiple dwells for convergence. The advantages of the OSP approach are (1) OSP cancellation adapts to the clutter environment including clutter competing directly with the signal, (2) the OSP waveform can be adapted to minimize the effect of strong discrete clutter by creating nulls in the time-sidelobes at appropriate ranges, and (3) the OSP algorithm can be parallelized for real-time processing.

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

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