Evaluation of a Robust System for Hyperspectral Data Compression Under Neutron and Proton Effects

The use of hyperspectral sensors in space missions is steadily increasing. These sensors generate large volumes of data in the form of hyperspectral cubes (images captured in hundreds of different wavelengths), which require the adoption of data compression solutions onboard. In this work, we evaluate error mitigation for the Consultative Committee for Space Data System (CCSDS)-123 hyperspectral data lossless compression IP. Realizing that a data compressor has to be used with some data interfaces (IFs) and possibly a processor, the evaluation is performed for entire systems built around the SHyLoC CCSDS-123 IP core. To this purpose, we designed hardened systems that include redundant IP cores, input and output data stream IFs, and processors. The hardened systems were implemented in a commercial System on Chip (SoC) device and tested with atmospheric neutrons and protons. Experimental results are presented and discussed for two architectures using dual and triple IP core redundancies, respectively.