Two-dimensional lattice linear prediction parameter estimation method and fast algorithm

doi:10.1109/97.844639

2000-06-01

PRE

Marple, SL *

DOI：10.1109/97.844639

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摘要

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This paper presents an extension of the one-dimensional (1-D) lattice (reflection coefficient) technique of linear prediction parameter estimation, first popularized by Burg, to the tno-dimensional (2-D) case. The resulting fast recursive 2-D algorithm is a significant computational simplification over and an estimation improvement on previous attempts to extend the 1-D Burg linear prediction algorithm to to by exploiting some newly discovered matrix structures. The technique presented here is useful for high resolution 2-D spectral analysis applications and the creation of high-resolution spotlight-mode synthetic aperture radar (SI-IR) imagery, as will be illustrated.

Keyword:

autoregressive processes

lattice estimation

parameter estimates

synthetic aperture radar (SAR)

Toeplitz matrices