Radiation-Tolerant Spaceborne Computing Framework for Long-Duration Deep-Space Missions

Abstract

The growing complexity of the long-duration deep-space missions has placed a dire need in highly stable and autonomous onboard computing systems that have the potential to survive in extreme conditions on the extra-terrestrial conditions. Deep-space exploration 
systems have been constantly bombarded with galactic cosmic rays, solar particle events, heavy-ion radiation, and cumulative ionizing effects, unlike low Earth orbit missions, that are extremely damaging to the reliability and workability of the conventional electronic 
devices. Phenomena caused by radiation include single-event upsets, single-event latch up, displacement damage, and degradation of total ionizing dose which may lead to processor malfunction, memory corruption, communication failure, and disastrous mission 
failure. This paper seeks to solve these issues by proposing a deep space Radiation Tolerant Spaceborne Computing Framework that is specifically suitable in long missions. The suggested architecture incorporates multi-layer fault reduction schemes with radiation 
hardened multi-core processor, FPGA-based adaptive computing, error correction and memory scrubbing engines, redundant communications architecture, AI-enabled anomaly detection, autonomous fault recovery, and manage radiation-aware embedded software. It includes advanced technologies such as magnetoresistive random-access memory, gallium nitride-based power electronics, dynamic partial reconfiguration, and hybrid fault-tolerant architecture to improve the resilience of computations, energy, thermal stability as well as long-term operational stability in severe radiation environments. The structure also allows autonomous onboard decision-making and reconfiguration of the systems, therefore minimizing reliance on the control of Earth when in high-latency interplanetary operations. Radiation-aware simulation and fault injection analysis show that there are high efficiency in fault recovery, radiation tolerance ability, processing stability and mission reliability in general when compared to the traditional spaceborne computing systems. The suggested architecture will provide a scalable and intelligent framework in the upcoming lunar missions, Mars exploration systems, asteroid missions, autonomous satellite constellations, and future generation interplanetary spacecrafts, which will provide a solid platform in resilient deep-space computer infrastructures.