Particle filtering for quantized innovations

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

Volumn , Issue , 2009, Pages 2229-2232

  Sukhavasi, Ravi Teja ^a   Hassibi, Babak ^a  

^a California Institute of Technology   (United States)

Author keywords

Distributed state estimation; Particle filter; Posterior Cramer Rao Bound (PCRB); Sign of innovation; Wireless sensor network

Indexed keywords

DISTRIBUTED STATE; DISTRIBUTED STATE ESTIMATION; ERROR COVARIANCES; FILTERING PROBLEMS; LINEAR DYNAMICAL SYSTEMS; NONLINEAR FILTER; PARTICLE FILTER; PARTICLE FILTERING; POSTERIOR CRAMER-RAO BOUND (PCRB); RICCATI RECURSION; SIGN OF INNOVATION;

ACOUSTICS; AIR FILTERS; COMMUNICATION CHANNELS (INFORMATION THEORY); CONTROL THEORY; CRAMER-RAO BOUNDS; DISTRIBUTED COMPUTER SYSTEMS; DYNAMICAL SYSTEMS; ESTIMATION; INNOVATION; LINEAR CONTROL SYSTEMS; NONLINEAR FILTERING; SENSOR NETWORKS; SIGNAL PROCESSING; STATE ESTIMATION;

WIRELESS SENSOR NETWORKS;

EID: 70349192825     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2009.4960062     Document Type: Conference Paper

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