Monte Carlo algorithms for tracking a maneuvering target using a network of mobile sensors

IEEE CAMSAP 2005 - First International Workshop on Computational Advances in Multi-Sensor Adaptive Processing

Volumn 2005, Issue , 2005, Pages 89-92

  Míguez, Joaquín ^a   Artés Rodríguez, Antonio ^a  

^a UNIVERSIDAD CARLOS III DE MADRID   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; ENERGY UTILIZATION; MANEUVERABILITY; MOBILE TELECOMMUNICATION SYSTEMS; MONTE CARLO METHODS; SENSORS; TELECOMMUNICATION SERVICES;

MOBILE BINARY SENSORS; MONTE CARLO ALGORITHMS; SEQUENTIAL MONTE CARLO METHODOLOGY; TRACKERS;

AUTOMATIC TARGET RECOGNITION;

EID: 33846639603     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CAMAP.2005.1574191     Document Type: Conference Paper

References (6)

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4. J. Míguez, M. F. Bugallo, and P. M. Djurić, "A new class of particle filters for random dynamical systems with unknown statistics," EURASIP Journal on Applied Signal Processing, vol. 2004, no. 15, pp. 2278-2294, November 2004.
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6. A. Doucet, S. Godsill, and C. Andrieu, "On sequential Monte Carlo Sampling methods for Bayesian filtering," Statistics and Computing, vol. 10, no. 3, pp. 197-208, 2000.