Smart-pixel array processors based on optimal cellular neural networks for space sensor applications

Abstract

A smart-pixel cellular neural network 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 implementation feasibility was illustrated by a prototype smart-pixel 5/spl times/5-neuroprocessor array chip of active dimensions 1380 /spl mu/m/spl times/746 /spl mu/m in a 2-/spl mu/m CMOS technology.