Multi-Stage Robust Chinese Remainder Theorem

TL;DR

This paper introduces a multi-stage robust Chinese Remainder Theorem (CRT) that improves error tolerance in reconstructing integers from erroneous remainders, extending robustness beyond previous limits through a multi-stage grouping approach.

Contribution

It presents a necessary and sufficient condition for robust reconstruction with general moduli and proposes a multi-stage grouping method to enhance error tolerance in the CRT.

Findings

Two-stage robust CRT can tolerate larger errors than traditional methods.

A grouping algorithm improves robustness in specific cases.

Multi-stage approach generalizes robustness beyond quarter of gcd error bound.

Abstract

It is well-known that the traditional Chinese remainder theorem (CRT) is not robust in the sense that a small error in a remainder may cause a large error in the reconstruction solution. A robust CRT was recently proposed for a special case when the greatest common divisor (gcd) of all the moduli is more than 1 and the remaining integers factorized by the gcd of all the moduli are co-prime. In this special case, a closed-form reconstruction from erroneous remainders was proposed and a necessary and sufficient condition on the remainder errors was obtained. It basically says that the reconstruction error is upper bounded by the remainder error level $\tau$ if $\tau$ is smaller than a quarter of the gcd of all the moduli. In this paper, we consider the robust reconstruction problem for a general set of moduli. We first present a necessary and sufficient condition for the remainder errors for a robust reconstruction from erroneous remainders with a general set of muduli and also a corresponding robust reconstruction method. This can be thought of as a single stage robust CRT. We then propose a two-stage robust CRT by grouping the moduli into several groups as follows. First, the single stage robust CRT is applied to each group. Then, with these robust reconstructions from all the groups, the single stage robust CRT is applied again across the groups. This is then easily generalized to multi-stage robust CRT. Interestingly, with this two-stage robust CRT, the robust reconstruction holds even when the remainder error level $\tau$ is above the quarter of the gcd of all the moduli. In this paper, we also propose an algorithm on how to group a set of moduli for a better reconstruction robustness of the two-stage robust CRT in some special cases.