Time Allocation of a Set of Radars in a Multitarget Environment

TL;DR

This paper investigates optimal time allocation strategies for multiple radars in a multitarget environment, aiming to maximize detection probabilities through modeling and optimization under various scenarios.

Contribution

It introduces a novel approach to radar time allocation based on probabilistic detection models and optimization techniques for multitarget scenarios.

Findings

Derived allocation strategies for different target distributions

Optimized detection probability under resource constraints

Applicable to various radar configurations and environments

Abstract

The question tackled here is the time allocation of radars in a multitarget environment. At a given time radars can only observe a limited part of the space; it is therefore necessary to move their axis with respect to time, in order to be able to explore the overall space facing them. Such sensors are used to detect, to locate and to identify targets which are in their surrounding aerial space. In this paper we focus on the detection schema when several targets need to be detected by a set of delocalized radars. This work is based on the modelling of the radar detection performances in terms of probability of detection and on the optimization of a criterion based on detection probabilities. This optimization leads to the derivation of allocation strategies and is made for several contexts and several hypotheses about the targets locations.