Particle Swarm Optimization aided unscented kalman filter for ballistic target tracking

Tracking of a ballistic target in its reentry phase by considering the radar measurements is a highly complex problem in nonlinear filtering. Kalman Filter (KF) is used to estimate the positions of the target when the measurements are corrupted with noise. If the measurements (range and bearing) are...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Jatoth, Ravi Kumar, Rao, D Nagarjuna, Kumar, K Sumanth
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	ballistic target tracking Covariance matrix Gallium Genetic Algorithm Kalman filters Noise Particle swarm optimization Radar tracking Tuning Unscented Kalman filter
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