Sequential Monte Carlo sampling detector for Rayleigh fast-fading channels

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 1, Issue , 2000, Pages 61-64

  Kotecha, Jayesh H ^a   Djurić, Petar M ^a  

^a Stony Brook University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FADING CHANNELS; GAUSSIAN NOISE (ELECTRONIC); IMPORTANCE SAMPLING; MATCHED FILTERS; SIGNAL PROCESSING; STATE SPACE METHODS; COMMUNICATION CHANNELS (INFORMATION THEORY); COMPUTER SIMULATION; DATA COMMUNICATION SYSTEMS; DIGITAL FILTERS; FREQUENCY ALLOCATION; MATHEMATICAL MODELS; MONTE CARLO METHODS; PROBABILITY DISTRIBUTIONS; RAYLEIGH FADING; REGRESSION ANALYSIS; SIGNAL FILTERING AND PREDICTION; SIGNAL NOISE MEASUREMENT;

AUTOREGRESSIVE PROCESS; CHANNEL COEFFICIENT; ESTIMATION AND DETECTION; FADING COEFFICIENTS; MONTE CARLO SAMPLING; POSTERIOR DISTRIBUTIONS; SEQUENTIAL MONTE CARLO SAMPLING; STATE - SPACE MODELS;

MONTE CARLO METHODS; SIGNAL DETECTION;

AUTOREGRESSIVE PROCESS; CHANNEL STATE INFORMATION; DYNAMIC STATE SPACE MODEL; MONTE CARLO SAMPLING DETECTOR; RAYLEIGH FAST FADING CHANNELS;

EID: 0033692788     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2000.861864     Document Type: Conference Paper

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