Optical adaptive processors for large-order problems

Joe C. Bradley; Paul R. Beaudet; Edward C. Malarkey; Hyo-Kun Hahn; J. H. Mims

doi:10.1117/12.18154

1 June 1990 Optical adaptive processors for large-order problems

Joe C. Bradley, Paul R. Beaudet, Edward C. Malarkey, Hyo-Kun Hahn, J. H. Mims

Proceedings Volume 1217, Optoelectronic Signal Processing for Phased-Array Antennas II; (1990) https://doi.org/10.1117/12.18154
Event: OE/LASE '90, 1990, Los Angeles, CA, United States

Abstract

The problem of determining complex weights appropriate for adaptive beam nulling is discussed in the setting of a residue number system. Algorithms available for residue number system processing that allow scaling and are extendable to large order systems (i.e., as large as 64) include Gauss elimination, the modified Cholesky method and the Gram-Schmidt method. The most appropriate of these from the standpoint of complexity is the modified Cholesky method.

Citation Download Citation

Joe C. Bradley, Paul R. Beaudet, Edward C. Malarkey, Hyo-Kun Hahn, and J. H. Mims "Optical adaptive processors for large-order problems", Proc. SPIE 1217, Optoelectronic Signal Processing for Phased-Array Antennas II, (1 June 1990); https://doi.org/10.1117/12.18154

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