IARU Amateur Satellite Frequency Coordination

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RadSat-u Updated: 28 Apr 2017   Responsible Operator Larry Springer Experimental
Supporting Organisation Montana State University  
Contact Person Larry.springer@msu.edu.nospam  
Headline Details: RadSat-u is the name of a satellite to demonstrate a novel computer architecture designed to mitigate radiation induced faults using commercial off-the-shelf (COTS) field programmable gate arrays (FPGAs). The computer technology is implemented as an experiment within RadSat-u to demonstrate it in an operational space environment. The fault mitigation approach in this computer involves breaking a commercial FPGA fabric into redundant tiles, each with the characteristics that they can fully contain the circuit of interest and also be individually reprogrammed using partial reconfiguration. Currently, each tile contains a full computer system based on a Xilinx MicroBlaze soft processor. At any given time, three of the tiles run in triple modular redundancy (TMR) with the rest of the tiles reserved as spares. The TMR voter is able to detect faults in the active triad by voting on the tile outputs. A configuration memory scrubber continually runs in the background and is able to detect faults in the configuration memory of both the active and inactive tiles. In the event of a fault in the active triad, (either detected by the TMR voter or scrubber), the damaged tile is replaced with a known good spare and foreground TMR operation continues. The damaged tile is repaired in the background by reinitializing its configuration memory through partial reconfiguration. Faults detected in inactive tiles by the scrubber are also repaired in the background and reintroduced as spares. This approach mitigates single event effects (SEEs) in the FPGA circuit fabric in addition to SEEs in the configuration memory. Planning a Q2/3 2019 deployment from the ISS. Proposing a GSMK 19k2 downlink on UHF. **A downlink on 437.425 MHz has been coordinated**
Application Date: 08 Mar 2017   Freq coordination completed on 26 Apr 2017

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