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Smart-Pixel Array Processors Based on Optimal Cellular Neural Networks for Space Sensor ApplicationsA smart-pixel cellular neural network (CNN) with hardware annealing capability, digitally programmable synaptic weights, and multisensor parallel interface has been under development for advanced space sensor applications. The smart-pixel CNN architecture is a programmable multi-dimensional array of optoelectronic neurons which are locally connected with their local neurons and associated active-pixel sensors. Integration of the neuroprocessor in each processor node of a scalable multiprocessor system offers orders-of-magnitude computing performance enhancements for on-board real-time intelligent multisensor processing and control tasks of advanced small satellites. The smart-pixel CNN operation theory, architecture, design and implementation, and system applications are investigated in detail. The VLSI (Very Large Scale Integration) implementation feasibility was illustrated by a prototype smart-pixel 5x5 neuroprocessor array chip of active dimensions 1380 micron x 746 micron in a 2-micron CMOS technology.
Document ID
19980073267
Acquisition Source
Jet Propulsion Laboratory
Document Type
Other
Authors
Fang, Wai-Chi
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA United States)
Sheu, Bing J.
(University of Southern California Los Angeles, CA United States)
Venus, Holger
(Deutsche Forschungsanstalt fuer Luft- und Raumfahrt Berlin, Germany)
Sandau, Rainer
(Deutsche Forschungsanstalt fuer Luft- und Raumfahrt Berlin, Germany)
Date Acquired
August 18, 2013
Publication Date
January 1, 1997
Publication Information
Publication: Autonomous Sensor Systems 2 Aspects, Methods, Components, Systems
Subject Category
Instrumentation And Photography
Meeting Information
Meeting: Computer Design
Location: Austin, TX
Country: United States
Start Date: October 2, 1995
End Date: October 5, 1995
Sponsors: Institute of Electrical and Electronics Engineers
Funding Number(s)
CONTRACT_GRANT: N00014-94-I-0568
Distribution Limits
Public
Copyright
Other
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