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Convergence results for the particle PHD filter
Daniel Edward Clark, Judith Bell
School of Engineering & Physical Sciences
Research output
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Contribution to journal
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Article
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peer-review
121
Citations (Scopus)
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Dive into the research topics of 'Convergence results for the particle PHD filter'. Together they form a unique fingerprint.
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INIS
algorithms
25%
applications
50%
approximations
50%
convergence
100%
data
25%
density
100%
distribution
50%
environment
25%
errors
25%
filters
100%
hypothesis
100%
information
25%
monte carlo method
25%
particles
100%
probability
100%
randomness
25%
Computer Science
And-States
50%
Approximation (Algorithm)
100%
data association
50%
Particle Filter
50%
Posterior Distribution
100%
probability hypothesis density
100%
probability hypothesis density filter
100%
Real-Time Application
50%
Single Target Tracking
50%
Target Environment
50%
Tracking Technique
50%
Mathematics
Bayesian
25%
Convergence Result
100%
data association
25%
Finite Set
25%
Mathematical Proof
25%
Mean Square Error
25%
Monte Carlo
25%
Posterior Distribution
50%
Probability Theory
100%
Target State
75%
Engineering
Filtering Algorithm
33%
Finite Set
33%
Mean Square Error
33%
Multiple Target
100%
Particle Filter
33%
Posterior Distribution
66%
Single-Target Tracking
33%
Target State
100%
Physics
Sequential Monte Carlo
100%
Tracking (Position)
100%