A Simulation Experiment on a Built-In Self Test Equipped with Pseudorandom Test Pattern Generator and Multi-Input Shift Register (MISR)

TL;DR

This paper uses simulation to analyze how characteristic polynomial choices and initial loadings affect aliasing errors in a built-in self-test system with a pseudorandom pattern generator and MISR signature analyzer.

Contribution

It provides insights into the impact of polynomial and initial loading variations on aliasing errors in LFSR-based testing techniques.

Findings

Aliasing error probability remains unchanged with identical characteristic polynomials.

Simulation confirms the robustness of aliasing error behavior against initial loading changes.

Study enhances understanding of test pattern generator and MISR interactions.

Abstract

This paper investigates the impact of the changes of the characteristic polynomials and initial loadings, on behaviour of aliasing errors of parallel signature analyzer (Multi-Input Shift Register), used in an LFSR based digital circuit testing technique. The investigation is carried-out through an extensive simulation study of the effectiveness of the LFSR based digital circuit testing technique. The results of the study show that when the identical characteristic polynomials of order n are used in both pseudo-random test-pattern generator, as well as in Multi-Input Shift Register (MISR) signature analyzer (parallel type) then the probability of aliasing errors remains unchanged due to the changes in the initial loadings of the pseudo-random test-pattern generator.