Gaussian mixture PHD filter for jump Markov models based on best-fitting Gaussian approximation

Signal Processing

Volumn 91, Issue 4, 2011, Pages 1036-1042

  Li, Wenling ^a   Jia, Yingmin ^a  

^a BEIHANG UNIVERSITY   (China)

Author keywords

Best fitting Gaussian approximation; Jump Markov system; Multiple maneuvering targets tracking; Probability hypothesis density filter

Indexed keywords

COMPUTATIONAL EXPENSE; GAUSSIAN APPROXIMATIONS; GAUSSIAN MIXTURE PROBABILITY HYPOTHESIS DENSITY; GAUSSIAN MIXTURES; INTERACTING MULTIPLE MODEL; JUMP MARKOV MODELS; JUMP MARKOV SYSTEM; MANEUVERING TARGETS; MANEUVERING TARGETS TRACKING; MULTIPLE MODELS; PHD FILTERS; PROBABILITY HYPOTHESIS DENSITY FILTER;

COMPUTER SIMULATION; MARKOV PROCESSES; PROBABILITY;

GAUSSIAN DISTRIBUTION;

EID: 78650879843     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2010.08.004     Document Type: Article

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