  In this paper, we present a geometric framework for the passive localisation
of static emitters. The objective is to localise the position of the emitters
in a given area by centralised coordination of mobile passive sensors. This
framework uses only the geometry of the problem to minimise the maximal bounds
of the emitters' locations without using a belief or probability distribution.
This geometric approach provides effective boundaries on the emitters'
position. It can also be useful in evaluating different decision-making
strategies for coordinating mobile passive sensors and complementing
statistical methods during the initialisation process. The effectiveness of the
geometric approach is shown by designing and evaluating a greedy
decision-making strategy, where a sensor selects its future position by
minimising the maximum uncertainty on its next measurement using one of the
global objective functions. Finally, we analyse and discuss the emergent
behaviour and robustness of the proposed algorithms.
