Paper
22 August 1988 General RNS - Optical Adaptive Processing For Large Systems
P. R. Beaudet, J. C. Bradley, E. C. Malarkey, Brian M. Hendrickson
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Abstract
In a Residue Number System, Second Factorization reduces modular multiplication, addition and subtraction to several miniature look up tables (LUT's). Optical implementation of Second Factorization for parallel matrix processing is investigated for large adaptive phased array radar applications. It is shown that a modified Sherman-Morrison method can be used with Second Facorization in a Quadratic Residue Number System, QRNS, to solve the adaptive beam forming problem. Second Factorization techniques are invoked to implement Quadratic RNS and General RNS arithmetic with small optical LUT's. Properties of the complex primes in QRNS/GRNS are discussed. It is shown that non-Archimedean primes as well as the complex factors of Archimedean primes can be used in a general residue number system (GRNS). Optical architectures for multiplication and addition (subtraction) are presented. Examples of these operations are illustrated. A photograph of a preliminary Mod (6+5i) matrix-vector processor is shown.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
P. R. Beaudet, J. C. Bradley, E. C. Malarkey, and Brian M. Hendrickson "General RNS - Optical Adaptive Processing For Large Systems", Proc. SPIE 0936, Advances in Optical Information Processing III, (22 August 1988); https://doi.org/10.1117/12.946947
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KEYWORDS
Radon

Radar

Antennas

Adaptive optics

Phased array optics

Optical signal processing

Chemical elements

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