Data fusion: applications to the tracking and guidance of defense missiles

Dominique Maltese; Andre Lucas

doi:10.1117/12.604711

25 May 2005 Data fusion: applications to the tracking and guidance of defense missiles

Dominique Maltese, Andre Lucas

Proceedings Volume 5809, Signal Processing, Sensor Fusion, and Target Recognition XIV; (2005) https://doi.org/10.1117/12.604711
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

Nowadays, Combat Systems have to counter different kinds of threats including surface targets and air targets. In that last case, fast-moving incoming missiles such as BUNT missiles turn out to be the most threatening ones. Indeed, their maneuver capabilities are difficult to be managed by tracking processes. Plus, when a defense missile launched by the fire system is remote conrolled, threat maneuvers may decrease the interception capabilities of the Combat System i.e. the Probability to Kill (PK). The article addresses this situation. A practical aglorithm of data fusion is presented; the case studied is a short-range fire control platform. The Combat System features a dual-sensor system that combines a Track Radar and a Thermal Imager while a Missile Guidance Unit (MGU) takes into account the incoming target and the Defense Missile tracks to remote control the missile towards its target. Then, statistic results of tracking performances and interception sequences are given for different incoming missile scenarios and sensors suites (radar-alone configuration, combination of the active sensor with a Thermal Imager). They highlight how data fusion reacts with the overall anti-missiles fire system performances and especially its miss distance.

Citation Download Citation

Dominique Maltese and Andre Lucas "Data fusion: applications to the tracking and guidance of defense missiles", Proc. SPIE 5809, Signal Processing, Sensor Fusion, and Target Recognition XIV, (25 May 2005); https://doi.org/10.1117/12.604711

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