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Innovative Signal Processing Techniques for Mitigation of Wind Turbine Farm Interference in Airborne Radar Systems

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-14-C-0248
Agency Tracking Number: N141-003-0028
Amount: $79,341.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N141-003
Solicitation Number: 2014.1
Timeline
Solicitation Year: 2014
Award Year: 2014
Award Start Date (Proposal Award Date): 2014-05-15
Award End Date (Contract End Date): 2014-11-17
Small Business Information
P.O. Box 82
Southampton, PA 18966-0082
United States
DUNS: 824635515
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 June Gordon
 President
 (215) 208-5008
 Gordgroup@cs.com
Business Contact
 June Gordon
Title: President
Phone: (215) 208-5008
Email: Gordgroup@cs.com
Research Institution
 Stub
Abstract

Wind farms located within the line of sight of airborne radar systems can degrade the ability of the radars to perform their intended function of detecting and tracking aircraft. The magnitude of the impact will depend upon the location, number, size, and structural properties of the turbines. Wind turbines can generate a considerable amount of interference in the form of both stationary and non-stationary clutter returns. Stationary clutter can result from the tower or nacelle being with the field of view of the radar system and non-stationary clutter can result from the blade rotation. This strong interference will typically overwhelm radar signal processors and manifest itself as an increase in false alarms and initiation of false target tracks. In addition, the presence of wind turbines in the path of a radar beam creates a shadow region behind the wind farm within which aircraft would be masked from detection. The GSG proposed solution will enable airborne radar systems to perform their intended functions with a high probability of detection and low false alarm rate. The method utilizes advanced matrix methods and transform methods to identify and remove turbine signatures embedded within radar time series data prior to detection processing.

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

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