The downscaling of technology has resulted in increased packing density in CMOS
technology and thus, a worrying uptick in single event upset susceptibility in contemporary
technology. SRAMs in particular, which now occupy up to 70% of all chip size, are
vulnerable to errors from single event upsets, leaving the reliability of its memory storage
potentially compromised. The application of submicron electronics in areas of high particle
activity in fields such as aerospace calls for the need for technology that is resistant against
the occurrence of soft errors, with an increased capacity of mitigating the phenomenon of
single event upsets. The current literature has proposed methods such as radiation hardening
through methods such as transistor sizing and triple modular redundancy which are unable
to keep pace with technology downscaling. This study aims to characterize and model the
transient pulse formed from a single event upset, formulate the probability of a state flip in
various SRAMs, and produce a transient filter based on transmission gate. The transient
pulse, modelled by the double exponential model is injected into the vulnerable memory
nodes of the interlocked inverters, Q and QB in the 4T, 6T and 9T SRAMs to observe the
amplitude of transient pulse required to incite a state change. The critical charge is then
calculated from the readings, and its subsequent probability is calculated further based on
the memory node area, technology node of 180nm and the atmospheric cross section per unit
area constant. The transmission gate transient filter SRAM achieves an 88% improvement
in error probability reduction
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