Share Email Print

Proceedings Paper

Gram-Schmidt Orthogonalization Of The Data Matrix And Its Use In Residue Number System (Rns) Optical Adaptive Processing
Author(s): J C Bradley; P R Beaudet; E C Malarkey; J H Mims
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Gram-Schmidt orthogonalization of a set of vectors is carried out in a Residue Number System. Two problems usually present in RNS computations - singularity of transformations and the occurrence of isotropic vectors (i.e., nonzero vectors whose length is zero) - are properly handled. It is shown how these developments can be used together with optical look-up tables (LUTs) to solve adaptive beam nulling problems.

Paper Details

Date Published: 12 April 1988
PDF: 7 pages
Proc. SPIE 0886, Optoelectronic Signal Processing for Phased-Array Antennas, (12 April 1988); doi: 10.1117/12.944187
Show Author Affiliations
J C Bradley, Westinghouse Electric Corporation (United States)
P R Beaudet, Westinghouse Electric Corporation (United States)
E C Malarkey, Westinghouse Electric Corporation (United States)
J H Mims, Westinghouse Electric Corporation (United States)

Published in SPIE Proceedings Vol. 0886:
Optoelectronic Signal Processing for Phased-Array Antennas
Kul B. Bhasin; Brian M. Hendrickson, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?