2004 IEEE Radar Conference

Innovative Radar Technologies - Expanding System Capabilities

 
 
 April 26-29, 2004 Wyndham Philadelphia at Franklin Plaza Philadelphia, Pennsylvania
 
 
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Poster 4.1
Cramer-Rao lower bounds for bearing estimation in STAP performance analysis

Gregory A Showman - Georgia Tech Research Institute, William L. Melvin - Georgia Tech Research Institute, Daren J. Zywicki - Georgia Tech Research Institute

Wed, 28 April 2004, 3:20 PM - 4:10 PM


Abstract

The performance of space-time adaptive processing (STAP) radar is a strong function of array geometry and the particular algorithm implemented. Traditionally, detection performance has been of paramount importance, but recently interest has grown in the accuracy of target direction of arrival (DOA) estimates. This paper describes an evaluation of the Cram?r-Rao Lower Bound (CRLB) for DOA accuracy. The CRLB is useful for bounding the bearing estimation performance of candidate array architectures and STAP algorithms, but often generates counter-intuitive results. Anomalous characteristics of the CRLB are investigated, explained, and placed in the context of maximum likelihood estimation (MLE) properties. The end product is a tool that can be applied to comparative analyses with confidence. The paper concludes by demonstrating the utility of the CRLB in both array and algorithm studies.

Bio

Dr. Gregory A Showman - Georgia Tech Research Institute

Dr. Gregory A. Showman is a research engineer in the Radar Systems Division at the Georgia Tech Research Institute. He received the BS degree in Applied Physics from the University of California at Davis in 1985, and the MS and Ph.D. degrees in Electrical Engineering from the Georgia Institute of Technology in 1994 and 2000, respectively. From 1985 to 1992 he worked as an anti-air warfare analyst at the Naval Air Warfare Center, China Lake, and from 1992 to 2000 he was a full-time graduate research assistant at Georgia Tech, performing research on ultra-wideband SAR image formation and polarimetric calibration. Dr. Showman is currently working on the development of robust algorithms and architectures for space-time adaptive processing (STAP) radar, and problems related to electronic protection (EP) for SAR and STAP systems.

 
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