Paper
4 January 1986 Progress In Eigenvector Beamforming
Jeffrey M. Speiser
Author Affiliations +
Abstract
This paper discusses research in spectrum analysis, beamforming, and direction finding, using signal subspace techniques. Such methods can provide improvements in performance by effectively incorporating prior information concerning the spatial and temporal structure of the signals and noise. During the past decade, many researchers have contributed to broadening the range of applicability of such methods and increasing our understanding of their relation to traditional linear statistical modelling. Representative results will be described, together with an outline of future research directions and a brief introduction to the literature on systolic architectures and algorithms for parallel implementation of the required matrix computations.
© (1986) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jeffrey M. Speiser "Progress In Eigenvector Beamforming", Proc. SPIE 0564, Real-Time Signal Processing VIII, (4 January 1986); https://doi.org/10.1117/12.949696
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CITATIONS
Cited by 7 scholarly publications.
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KEYWORDS
Interference (communication)

Matrices

Phased arrays

Statistical analysis

Signal processing

Data modeling

Data analysis

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