NDLI: Theoretical analysis of small sample size behaviour of eigenvector projection technique applied to STAP

Content Provider	IEEE Xplore Digital Library
Author	Balaji, B. Gierull, C.H.
Copyright Year	2002
Description	Author affiliation: Defence Res. & Dev. Canada, Ottawa, Ont., Canada (Balaji, B.; Gierull, C.H.)
Abstract	We investigate finite sample size performance of the eigenvector projection method when applied to space-time adaptive processing (STAP). A theoretical analysis of the expectation of the signal to interference plus noise ratio (SINR) for the eigenvector projection technique is presented. This gives insight into the the problem of determining the optimum choice of the projected clutter subspace. An estimator of the sample-size dependent optimum subspace dimension, which can be significantly smaller than the clutter rank, is also presented. This result, combined with near-optimal eigenvector-free projection techniques with minimal sample support, helps in reducing the computational burden significantly.
Sponsorship	IEEE Los Angeles Council IEEE Aerospace & Electron. Syst. Soc. Northrop Grumman Corp. Raytheon Co
Starting Page	373
Ending Page	378
File Size	525403
Page Count	6
File Format	PDF
ISBN	078037357X
DOI	10.1109/NRC.2002.999747
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-04-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Eigenvalues and eigenfunctions Signal to noise ratio Clutter Interference Covariance matrix Jamming Signal analysis Performance analysis Research and development Mean square error methods
Content Type	Text
Resource Type	Article

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