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

arXiv: https://arxiv.org/abs/2308.02431 · HTML: https://mlsanity.com/paper/2308.02431/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 21 Jul 2023.

## Built on by (most cited first, 1 of 1)

- [Variational Autoencoder for Calibration: A New Approach](https://mlsanity.com/paper/2511.00475/) (2025)

## Abstract (arXiv)

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.