A Propagation-model Empowered Solution for Blind-Calibration of Sensors

TL;DR

This paper introduces a novel propagation-model-based approach for blind sensor calibration, enabling calibration without standard sensors, with preliminary simulation results indicating promising effectiveness.

Contribution

It proposes a new method for semi-blind and fully blind sensor calibration based on modeling the sensing process as propagation and measurement, addressing a gap in existing literature.

Findings

Encouraging simulation results demonstrate potential of the proposed method.

The approach effectively models the sensing process for calibration.

Limited initial results suggest feasibility of blind calibration techniques.

Abstract

Calibration of sensors is a major challenge especially in inexpensive sensors and sensors installed in inaccessible locations. The feasibility of calibrating sensors without the need for a standard sensor is called blind calibration. There is very little work in the open literature on totally blind calibration. In this work we model the sensing process as a combination of two processes, viz. propagation of the event through the environment to the sensor and measurement process in the sensor. Based on this, we propose a unique method for calibration in two flavours, viz semi-blind and completely-blind calibration. We show limited results based on simulation showing encouraging results.