Abstract—This paper presents a novel framework for the
problem of target localization based on the range information
collected by a single mobile agent. The proposed methodology
exploits the algebra of Volterra integral operators to annihilate
the influence of initial conditions on the transient phase, thus
achieving a deadbeat performance. The robustness properties
against additive measurement perturbations are analyzed and
the bias caused by the time-discretization is characterized as
well. Extensive simulation results and comparisons are provided
showing the effectiveness of the proposed technique in coping
with both stationary and drifting targets.
