Linear measurements from nonlinear sensors: identifying distortion with incidental noise

TL;DR

This paper discusses how nonlinear sensors' measurements are affected by component and environmental variations, leading to distortion that limits their effective measurement range, especially at larger signal levels.

Contribution

It introduces a method to identify and quantify distortion caused by nonlinearity and incidental noise in sensors, enhancing measurement accuracy.

Findings

Nonlinear distortion increases with signal size.

Environmental factors significantly affect sensor linearity.

Proposed approach improves detection of measurement deviations.

Abstract

Nonlinearity in many systems is heavily dependent on component variation and environmental factors such as temperature. This is often overcome by keeping signals close enough to the device's operating point that it appears approximately linear. But as the signal being measured becomes larger, the deviation from linearity increases, and the device's nonlinearity specification will be exceeded. This limits the range over which the device will produce directly useful measurements, often to far less than the device's safe range of operation.