A sequential Monte Carlo algorithm for blind timing recovery and data detection

IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Volumn 2004-January, Issue , 2004, Pages 580-584

  Miguez, Joaquin ^a   Bugallo, Mónica F ^b   Djurić, Petar M ^b  

^a UNIVERSITY OF A CORUÑA   (Spain)

^b Stony Brook University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BAYESIAN NETWORKS; FREQUENCY ALLOCATION; FREQUENCY ESTIMATION; HEURISTIC METHODS; MAXIMUM LIKELIHOOD; MAXIMUM LIKELIHOOD ESTIMATION; OPTIMIZATION; SIGNAL DETECTION; SIGNAL PROCESSING; SYNCHRONIZATION; WIRELESS TELECOMMUNICATION SYSTEMS;

ASYMPTOTICALLY OPTIMAL; BAYESIAN ESTIMATION FRAMEWORK; CARRIER FREQUENCY OFFSETS; SEQUENTIAL MONTE CARLO ALGORITHMS; SEQUENTIAL MONTE CARLO METHODOLOGIES; SIMULATION-BASED METHOD; SYNCHRONIZATION ALGORITHM; SYNCHRONIZATION PARAMETERS;

MONTE CARLO METHODS;

EID: 84944682081     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SPAWC.2003.1319027     Document Type: Conference Paper

References (6)

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4. J. Liu and M. West, "Combined parameter and state estimation in simulation-based filtering," in Sequential Monte Carlo Methods in Practice, A. Doucet, N. de Freitas, and N. Gordon, Eds., chapter 10, pp. 197-223. Springer, 2001.
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6. M. K. Pitt and N. Shephard, "Auxiliary variable based particle filters," in Sequential Monte Carlo Methods in Practice, A. Doucet, N. de Freitas, and N. Gordon, Eds., chapter 13, pp. 273-293. Springer, 2001.