Scalable On-Array Processing (SOAP)

Today's digital phased array architectures face the challenges of exponential growth in processing and digital data flow as arrays increase in size, element count, instantaneous bandwidth, and other factors. Traditional methods of beamforming, adaptive beamforming, and heretofore unexplored array functions cannot be sustained due to processing and data flow bottlenecks common to current digital architectures, which remain linked to inherently analog methods of beam-oriented array processing. DARPA's Scalable On-Array Processing (SOAP) [1] aims to look at new architectures that support new forms of on-array distributed processing architectures and data flow management to enable digital arrays to realize their full potential.

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Publication Details

Published
2024-10-15
DOI
https://doi.org/10.1109/array58370.2024.10880452
Citations
1
Primary Topic
Embedded Systems Design Techniques
Type
article
Field-Weighted Citation Impact
0.49
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article

Scalable On-Array Processing (SOAP)

James Wilson, Benjamin R. Epstein, Anna Tauke‐Pedretti, J. R. Liu
1 citations
Embedded Systems Design Techniques
0.49
article

Scalable On-Array Processing (SOAP)

James Wilson, Benjamin R. Epstein, Anna Tauke‐Pedretti, J. R. Liu
article en
1 citations

Abstract

Today's digital phased array architectures face the challenges of exponential growth in processing and digital data flow as arrays increase in size, element count, instantaneous bandwidth, and other factors. Traditional methods of beamforming, adaptive beamforming, and heretofore unexplored array functions cannot be sustained due to processing and data flow bottlenecks common to current digital architectures, which remain linked to inherently analog methods of beam-oriented array processing. DARPA's Scalable On-Array Processing (SOAP) [1] aims to look at new architectures that support new forms of on-array distributed processing architectures and data flow management to enable digital arrays to realize their full potential.

Defense Advanced Research Projects Agency (US), Estrella Mountain Community College (US), Rho (United States) (US)
Openalex Percentile: Top 31%
Embedded Systems Design Techniques
0.49
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