Feedback gain phase alignment effects on convergence characteristics in Lucy-Richardson deconvolution for inversely predicting complex-shaped RTN distributions

Abstract

A technique to prevent deconvolution object from ringing errors in Lucy-Richardson-deconvolution (LRDec) iteration cycles is proposed, which is required for inversely analyzing complex-shaped Random Telegraph Noise (RTN) effects on SRAM margin variations. The proposed feedback gain phase alignment successfully circumvents the unwanted errors and makes it possible to avoid the need to give up on a benefit (smaller iteration cycles) from LRDec. The ringing elimination in a real LRDec analysis for the complex-shaped RTN distribution comprising three different sloped segments has been demonstrated for the first time, while exploiting a quicker convergence benefit of LRDec algorithm. The proposed technique reduces its relative errors of the complex-shaped RTN deconvolution by about 10 times, compared with the conventional LRDec.