Electrical engineering, Electronic engineering, Information engineering
The intent of this investigation is to replace the low fill factor
visible sensor of a Cellular Neural Network (CNN) processor with an
InGaAs Focal Plane Array (FPA) using both bump bonding and epitaxial
layer transfer techniques for use in the Ballistic Missile Defense
System (BMDS) interceptor seekers. The goal is to fabricate a massively
parallel digital processor with a local as well as a global
interconnect architecture. Currently, this unique CNN processor is
capable of processing a target scene in excess of 10,000 frames per
second with its visible sensor. What makes the CNN processor so unique
is that each processing element includes memory, local data storage,
local and global communication devices and a visible sensor supported
by a programmable analog or digital computer program.
