A combined particle/Kalman filter for improved tracking of beam aspect targets

IEEE Workshop on Statistical Signal Processing Proceedings

Volumn 2003-January, Issue , 2003, Pages 535-538

  Zaugg, D A ^a   Samuel, A A ^a   Waagen, D E ^a   Schmitt, H A ^a  

^a RAYTHEON COMPANY   (United States)

Author keywords

Covariance matrix; Equations; Gain measurement; Kalman filters; Noise measurement; Particle beams; Particle filters; Particle measurements; Particle tracking; Target tracking

Indexed keywords

CLUTTER (INFORMATION THEORY); COVARIANCE MATRIX; DISTRIBUTED COMPUTER SYSTEMS; GAIN MEASUREMENT; KALMAN FILTERS; MONTE CARLO METHODS; PARTICLE BEAMS; SIGNAL FILTERING AND PREDICTION; SIGNAL PROCESSING; TRACKING (POSITION);

EQUATIONS; NOISE MEASUREMENTS; PARTICLE FILTER; PARTICLE MEASUREMENT; PARTICLE TRACKING;

TARGET TRACKING;

EID: 47849105814     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SSP.2003.1289512     Document Type: Conference Paper

References (2)

1. M.K. Pitt and N. Shephard, "Filtering Via Simulation: Auxiliary Particle Filters," Journal of the American Statistical Association, vol. 94, pp. 590-599, 1999.
2. N. Gordon and B. Ristic, "Tracking Airborne Targets Occasionally Hidden in the Blind Doppler," Proceedings of SPIE - The International Society for Optical Engineering, v 4473, 2001, p. 587-595.