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Proceedings Paper

Efficient high-performance subspace-based tracking problems
Author(s): Eric M. Dowling; Ronald D. DeGroat; Darel A. Linebarger
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Paper Abstract

In this paper, we discuss some issues relevant to efficient, high performance subspace based tracking problems. Efficient subspace updating has been widely applied to target tracking problems. In this paper, we discuss a linear frequency modulated (FM) signal model for approximating slowly time varying narrowband signals that frequently arise in subspace based tracking problems. We also discuss the appropriateness of forward-backward (FB) averaging for increasing the efficiency of subspace updating. We then derive bias expressions for the peak locations of a discrete time Fourier transform spectrum of a linear FM signal. Finally, simulations confirm our bias expressions, and show that FB averaging can enhance the time varying frequency estimation performance of MUSIC over that of forward only averaging.

Paper Details

Date Published: 7 June 1995
PDF: 12 pages
Proc. SPIE 2563, Advanced Signal Processing Algorithms, (7 June 1995); doi: 10.1117/12.211403
Show Author Affiliations
Eric M. Dowling, Univ. of Texas/Dallas (United States)
Ronald D. DeGroat, Univ. of Texas/Dallas (United States)
Darel A. Linebarger, Univ. of Texas/Dallas (United States)


Published in SPIE Proceedings Vol. 2563:
Advanced Signal Processing Algorithms
Franklin T. Luk, Editor(s)

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