On BMD Target Tracking: Data Association and Data Fusion

TL;DR

This paper addresses multitarget tracking for ballistic missile defense using multiple sensors, focusing on data association and fusion to improve track accuracy and handle cues from various sources.

Contribution

It introduces algorithms for data association and fusion in multi-sensor BMD tracking, including handling cues from non-organic sources to enhance local track maintenance.

Findings

Improved track accuracy through data fusion techniques.

Effective handling of cues from multiple sensor sources.

Enhanced tracking robustness in complex BMD scenarios.

Abstract

In this paper we consider multitarget tracking with multiple sensors for BMD. In a previous paper multitarget tracking with a single sensor was considered [8]. A ballistic missile may be in several pieces, presenting multiple targets. Besides the ground based or ship sensor there is also the missile seeker. We consider algorithms for generating and maintaining the tracks needed for BMD. A cue of a BM from a non-organic tracking system may also be received. We consider whether the cue is already in the local track file or is a new track. The cue information can improve the existing local track.