Poster 3.9
New implementation of the Billingsley clutter model for high fidelity GMTI data cube generation

Paul D Mountcastle - Technology Service Corpopration

Wed, 28 April 2004, 9:30 AM - 10:20 AM

Abstract

Internal Clutter Motion (ICM) places significant limits on the effectiveness of STAP clutter suppression techniques, for example in achieving the smallest minimum detectable velocity in GMTI radar surveillance applications. To simulate this effect with maximum fidelity, the required correlation must be impressed on the returns from individual scatterers during the construction of the data cube. Doing so can represent a substantial computational burden on the simulation process when a clutter scene is characterized by many millions of individual pixels. Such numbers are typical when using high fidelity SAR maps as the basis of the clutter model. The paper reports on a fast computational technique for wind-blown clutter simulation that works within a flexible data-generation system employing real high-fidelity IFSAR maps with co-registered elevation data as ground truth.

Bio

Dr. Mountcastle received his BA in Physics in 1979 from the University of Maryland, his MA in Theoretical Physics in 1981 from SUNY Stony Brook and his PhD in Theoretical Physics from the University of Hawaii in 1998. He worked in the Radar System Engineering Department of Westinghouse Electric Corporation from 1982 to 1994, and in the Radar Data Analysis Group of XonTech, Inc. from 1998 to 2003. He currently works on Knowledge-Aided STAP algorithms, missile defense radar algorithms and space-based radar concepts at Technology Service Corporation in Trumbull, CT.