A new centralized sensor fusion-tracking methodology based on particle filtering for power-aware systems

IEEE Transactions on Instrumentation and Measurement

Volumn 57, Issue 10, 2008, Pages 2377-2387

  Zhai, Yan ^a   Yeary, Mark B ^b   Havlicek, Joseph P ^b   Fan, Guoliang ^c  

^a SCHLUMBERGER   (United States)

^b UNIVERSITY OF OKLAHOMA   (United States)

^c Oklahoma State University   (United States)

Author keywords

Monte Carlo methods; Multisensor systems; Sequential estimation; State estimation; Tracking

Indexed keywords

ACOUSTIC INTENSITY; ACOUSTIC SIGNAL PROCESSING; ACOUSTICS; AIR FILTERS; CLUTTER (INFORMATION THEORY); DATA FUSION; DATA STORAGE EQUIPMENT; DIRECTION OF ARRIVAL; DISTRIBUTED COMPUTER SYSTEMS; ESTIMATION; FUSION REACTIONS; NONLINEAR FILTERING; NUCLEAR PHYSICS; RADIO DIRECTION FINDING SYSTEMS; SENSOR DATA FUSION; SENSOR NETWORKS; SENSORS; SET THEORY; SIGNAL FILTERING AND PREDICTION; SIGNAL PROCESSING; STANDARDS; TARGETS; TELECOMMUNICATION EQUIPMENT; WAVE FILTERS; WIRELESS SENSOR NETWORKS; WIRELESS TELECOMMUNICATION SYSTEMS;

ACOUSTIC SENSOR NETWORKS; APPLICATIONS.; BOOTSTRAP FILTERS; COMPUTATION LOADS; ESTIMATION TECHNIQUES; FUSION CENTER; MONTE CARLO; MONTE CARLO METHODS; MULTISENSOR SYSTEMS; PARTICLE FILTERING; POWER-AWARE; PROPOSAL DISTRIBUTION; ROBUST ESTIMATIONS; SENSOR FUSION; SENSOR NODES; SEQUENTIAL ESTIMATION; STATE ESTIMATION; STATE PARTITION; SUPERIOR PERFORMANCE; TRACKING; TRACKING ALGORITHMS; TRACKING METHODS; WEIGHTED-SUM;

TARGET TRACKING;

EID: 52649161308     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2008.919009     Document Type: Article

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