Wind Turbine Clutter Mitigation

ABSTRACT: Matrix and CSU are poised to develop algorithms to suppress radar WTC while preserving signals from targets of interest such as aircraft and weather. Our processing approach will be capable of utilizing radar data from either stationary- or scanning-mode ground-based systems. We will work closely with our transition partner to develop a Phase II transition plan to integrate our approach onto specific customer-operated platforms. BENEFIT: The statistical WTC model, along with its associated mitigation algorithm, will provide a revolutionary new capability for improving detection performance of both existing and future radar assets. Our primary industrial customer is Raytheon, which currently serves both military and civilian customers, including the Air Force, the Federal Aviation Administration, and the National Weather Service. Although the nature of the targets of interest differ between air surveillance radar and weather radar, the underlying wind turbine clutter model is the same. Upon successful demonstration of our algorithm in Phase II, we fully expect to be able to bring our algorithm to these markets.