Bronze level automatically awarded US beta
This data has achieved Bronze level on 22 October 2015 which means this data makes a great start at the basics of publishing open data.
Highly-integrated, reconfigurable radar antenna arrays fabricated on flexible substrates offer high functionality in a portable package that can be rolled up and transported on the ground, or deployed into space. High levels of integration allow for: reconfigurability of operating frequency and / or gain pattern; integration of control, information processing, and communications functions directly onto the antenna substrate; integration of MEMS sensors into the antenna substrate to monitor the system health during deployment and in service; and opto-electronic beam forming networks, providing immunity to electromagnetic interference. While the advantages of highly-integrated flexible antennas are significant, their fabrication is highly challenging due to the lack of manufacturing technologies that can meet all of the processing requirements on flexible substrates. In this program we will develop and demonstrate a lithography-based process technology that enables a variety of critical processes that cannot be carried out using existing patterning technologies, in particular: the fabrication of the radar elements and feed structures on very-large-area substrates; the reduction of manufacturing costs by using photoablation processes; high levels of integration by means of laser-crystallization, allowing for the integration of high-performance ICs; and a combination of processes to produce MEMS for on-board sensors and for reconfiguring the array.
http://catalog.data.gov/dataset/highly-integrated-reconfigurable-large-area-flexible-radar-antenna-arrays-project-490da Do you think this data is incorrect? Let us know
National Aeronautics and Space Administration Do you think this data is incorrect? Let us know
http://catalog.data.gov/dataset/highly-integrated-reconfigurable-large-area-flexible-radar-antenna-arrays-project-490da Do you think this data is incorrect? Let us know
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