Noniterative subspace updating

Ronald D. DeGroat; Eric M. Dowling

doi:10.1117/12.49839

1 December 1991 Noniterative subspace updating

Ronald D. DeGroat, Eric M. Dowling

Proceedings Volume 1566, Advanced Signal Processing Algorithms, Architectures, and Implementations II; (1991) https://doi.org/10.1117/12.49839
Event: San Diego, '91, 1991, San Diego, CA, United States

Abstract

In this paper, we introduce a rank-one spherical subspace update that is appropriate for tracking the dominant (signal) and/or subdominant (noise) subspaces associated with a slowly time-varying correlation matrix. This non-iterative, highly parallel, numerically stabilized, subspace update is closely related to rank-one eigenstructure updating. However, a rank-one subspace update involves less computation than simple rank-one correlation accumulation. Moreover, the frequency tracking capabilities of the non-iterative subspace update are virtually identical to and in some cases more robust than the more computationally expensive eigen- based methods.

Citation Download Citation

Ronald D. DeGroat and Eric M. Dowling "Noniterative subspace updating", Proc. SPIE 1566, Advanced Signal Processing Algorithms, Architectures, and Implementations II, (1 December 1991); https://doi.org/10.1117/12.49839

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