Bayesian Multi-Object Filtering With Amplitude Feature Likelihood for Unknown Object SNR

Bayesian Multi-Object Filtering With Amplitude Feature Likelihood for Unknown Object SNR

In many tracking scenarios, the amplitude of target returns are stronger than those coming from false alarms. This information can be used to improve the multiple-target state estimation by obtaining more accurate target and false-alarm likelihoods. Target amplitude feature is well known to improve...

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Bibliographic Details
Main Authors: Clark, D., Ristić, B., Vo, Ba-Ngu, Vo, Ba Tuong
Format: Journal Article
Published: IEEE 2010
Subjects:
PHD filters
random sets
multi-objectestimation
tracking
target amplitude feature
finite set statistics
Bayesian filtering
Online Access:http://hdl.handle.net/20.500.11937/21513

Internet

http://hdl.handle.net/20.500.11937/21513

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