# An analysis on metric-driven multi-target sensor management: GOSPA versus OSPA

arXiv: https://arxiv.org/abs/2110.11788 · HTML: https://mlsanity.com/paper/2110.11788/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 22 Oct 2021.

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

- [Double Deep Q Networks for Sensor Management in Space Situational Awareness](https://mlsanity.com/paper/2205.14041/) (2022)

## Abstract (arXiv)

This paper presents an analysis on sensor management using a cost function based on a multi-target metric, in particular, the optimal subpattern-assignment (OSPA) metric, the unnormalised OSPA (UOSPA) metric and the generalised OSPA (GOSPA) metric (α=2). We consider the problem of managing an array of sensors, where each sensor is able to observe a region of the surveillance area, not covered by other sensors, with a given sensing cost. We look at the case in which there are far-away, independent potential targets, at maximum one per sensor region. In this set-up, the optimal action using GOSPA is taken for each sensor independently, as we may expect. On the contrary, as a consequence of the spooky effect at a distance in optimal OSPA/UOSPA estimation, the optimal actions for different sensors using OSPA and UOSPA are entangled.