# Maximum Likelihood Localization of Radiation Sources with unknown Source Intensity

arXiv: https://arxiv.org/abs/1608.00427 · HTML: https://mlsanity.com/paper/1608.00427/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 Jul 2016.

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

- [Physics-Guided Robotic Radiation Source Localization along Arbitrary Measurement Paths in Unstructured Environments](https://mlsanity.com/paper/2606.27624/) (2026)

## Abstract (arXiv)

In this paper, we consider a novel and robust maximum likelihood approach to localizing radiation sources with unknown statistics of the source signal strength. The result utilizes the smallest number of sensors required theoretically to localize the source. It is shown, that should the source lie in the open convex hull of the sensors, precisely N+1 are required in ℝN, ~N ∈ 1,cdots,3. It is further shown that the region of interest, the open convex hull of the sensors, is entirely devoid of false stationary points. An augmented gradient ascent algorithm with random projections should an estimate escape the convex hull is presented.