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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Session 5A.2
Classification of training data with reduced-rank generalized inner product

Michael A Tinston - Science Applications International Corporation, William Ogle - Science Applications International Corporation, Michael L Picciolo - Science Applications International Corporation, J. Scott Goldstein - Science Applications International Corporation, Michael C Wicks - Air Force Research Laboratory, Peter Zulch - Air Force Research Laboratory

Wed, 28 April 2004, 8:00 AM - 9:30 AM


Abstract

Selection of training data for space-time adaptive processing in radar systems remains one of the critical problems to be solved. The practical application of optimal detection theory relies on a large number of i.i.d. training samples. The required homogeneity is typically assumed to be satisfied by range cells adjacent to the cell under test. This is typically not valid in real-world applications. The generalized inner product has previously been proposed to assist in training data selection. This paper introduces two innovations: 1) the generalized inner product in the data-adaptive reduced-rank subspace of the multistage Wiener filter; and 2) classification of the available data into distinct, self-homogenous sets. Injected targets in recorded data from the MCARM program are used to assess performance. Training with data classified within the multistage Wiener filter subspace, also known as the Krylov subspace, is shown to outperform the conventional technique of selecting adjacent training cells.

Bio

Michael A Tinston - Science Applications International Corporation

Michael A. Tinston received the BSEE degreee from the United States Naval Academy in 1992 and the MSECE degree from the Georgia Institute of Technology in 2001. He is currently a Senior Systems Engineer with Science Applications International Corporation in Chantilly, Virginia where he is engaged in research on reduced rank adaptive signal processing techniques. Previously Mr Tinston was an E-2C Hawkeye Mission Commander and Naval Flight Officer in the United States Navy.

 
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