Details

Autor(en) / Beteiligte

• Rodriguez, Andres
• Panza, Jeffrey
• Vijaya Kumar, B V K
• Mahalanobis, Abhijit

Titel

Automatic recognition of multiple targets with varying velocities using quadratic correlation filters and Kalman filters

Ist Teil von

• 2010 IEEE Radar Conference, 2010, p.446-451

Ort / Verlag

IEEE

Erscheinungsjahr

2010

Link zum Volltext

• IEEE_Xplore

Quelle

IEEE Xplore

Beschreibungen/Notizen

• Automatic target recognition (ATR) systems require detection, recognition, and tracking algorithms. The classical approach is to treat these three stages separately. In this paper, we investigate a correlation filter (CF)-based approach that combines these tasks for enhanced ATR. We present a Kalman filter framework to combine information from successive correlation outputs in a probabilistic way. Our contribution is a framework that is able to locate multiple targets with different velocities at unknown positions providing enhanced ATR with only a marginal increase in computation over other CF ATR algorithms.