Target Recognition Using Late-Time Returns from Ultra-Wideband, Short- Pulse Radar

The goal of this research is to develop algorithms that recognize targets by exploiting properties in the late-time resonance induced by ultra- wide band radar signals. A new variant of the Matrix Pencil Method algorithm is developed that identifies complex resonant frequencies present in the scattered signal. Kalman filters are developed to represent the dynamics of the signals scattered from several target types. The Multiple Model Adaptive Estimation algorithm uses the Kalman filters to recognize targets. The target recognition algorithm is shown to be successful in the presence of noise. The performance of the new algorithms is compared to that of previously published algorithms.Air Force Inst of Tech Wright-Patterson AFB OH School of Engineering and Management is the author of 'Target Recognition Using Late-Time Returns from Ultra-Wideband, Short- Pulse Radar', published 2004 under ISBN 9781423519034 and ISBN 1423519035.