A stochastic geometric approach to sensor array processing
A new unified mathematical framework for sensor array processing is proposed. The proposed framework combines Bayesian estimation with stochastic geometry to accommodate prior information, uncertainty in array parameters, and unknown and stochastically time-varying number of nonstationary sources. A...
| Main Authors: | Vo, Ba-Ngu, Vo, Ba Tuong |
|---|---|
| Format: | Conference Paper |
| Published: |
IEEE Computer Society
2014
|
| Online Access: | http://hdl.handle.net/20.500.11937/30044 |
Similar Items
An implementation of the multi-sensor generalized labeled multi-Bernoulli filter via Gibbs sampling
by: Vo, Ba-Ngu, et al.
Published: (2017)
by: Vo, Ba-Ngu, et al.
Published: (2017)
Multi-Sensor Multi-Object Tracking with the Generalized Labeled Multi-Bernoulli Filter
by: Vo, Ba-Ngu, et al.
Published: (2019)
by: Vo, Ba-Ngu, et al.
Published: (2019)
Sensor control for multi-target tracking using Cauchy-Schwarz divergence
by: Beard, M., et al.
Published: (2015)
by: Beard, M., et al.
Published: (2015)
Random finite set multi-target trackers: Stochastic geometry for space situational awareness
by: Vo, Ba Tuong, et al.
Published: (2015)
by: Vo, Ba Tuong, et al.
Published: (2015)
A random finite set conjugate prior and application to multi-target tracking
by: Vo, Ba Tuong, et al.
Published: (2011)
by: Vo, Ba Tuong, et al.
Published: (2011)
A Multi-Scan Labeled Random Finite Set Model for Multi-Object State Estimation
by: Vo, Ba-Ngu, et al.
Published: (2019)
by: Vo, Ba-Ngu, et al.
Published: (2019)
Multi-Bernoulli filtering with unknown clutter intensity and sensor field-of-view
by: Vo, Ba Tuong, et al.
Published: (2011)
by: Vo, Ba Tuong, et al.
Published: (2011)
Multi-Scan Generalized Labeled Multi-Bernoulli Filter
by: Vo, Ba Tuong, et al.
Published: (2018)
by: Vo, Ba Tuong, et al.
Published: (2018)
Labeled Random Finite Sets and Multi-Object Conjugate Priors
by: Vo, Ba Tuong, et al.
Published: (2013)
by: Vo, Ba Tuong, et al.
Published: (2013)
The para-normal Bayes multi-target filter and the spooky effect
by: Vo, Ba Tuong, et al.
Published: (2012)
by: Vo, Ba Tuong, et al.
Published: (2012)
Tracking, Identification and Classification of Random Finite Sets
by: Vo, Ba Tuong, et al.
Published: (2013)
by: Vo, Ba Tuong, et al.
Published: (2013)
A Random-Finite-Set Approach to Bayesian SLAM
by: Mullane, J., et al.
Published: (2011)
by: Mullane, J., et al.
Published: (2011)
The Cauchy-Schwarz Divergence for Poisson Point Processes
by: Hung, G., et al.
Published: (2015)
by: Hung, G., et al.
Published: (2015)
A Solution for Large-Scale Multi-Object Tracking
by: Beard, Michael, et al.
Published: (2020)
by: Beard, Michael, et al.
Published: (2020)
A Generalized Labeled Multi-Bernoulli filter for maneuvering targets
by: Punchihewa, Y., et al.
Published: (2016)
by: Punchihewa, Y., et al.
Published: (2016)
A Consistent Metric for Performance Evaluation of Multi-Object Filters
by: Schuhmacher, D., et al.
Published: (2008)
by: Schuhmacher, D., et al.
Published: (2008)
Multitarget Filtering With Unknown Clutter Density Using a Bootstrap GMCPHD Filter
by: Beard, Michael, et al.
Published: (2013)
by: Beard, Michael, et al.
Published: (2013)
A fast implementation of the generalized labeled multi-Bernoulli filter with joint prediction and update
by: Hoang, H., et al.
Published: (2015)
by: Hoang, H., et al.
Published: (2015)
Data fusion in 3D vision using a RGB-D data via switching observation model and its application to people tracking
by: Kim, D., et al.
Published: (2013)
by: Kim, D., et al.
Published: (2013)
The Cauchy-Schwarz divergence for poisson point processes
by: Hoang, Hung Gia, et al.
Published: (2014)
by: Hoang, Hung Gia, et al.
Published: (2014)
Multi-target tracking with merged measurements using labelled random finite sets
by: Beard, Michael, et al.
Published: (2014)
by: Beard, Michael, et al.
Published: (2014)
Labeled Random Finite Sets and the Bayes Multi-Target Tracking Filter
by: Vo, Ba-Ngu, et al.
Published: (2014)
by: Vo, Ba-Ngu, et al.
Published: (2014)
CPHD filtering with unknown clutter rate and detection profile
by: Mahler, R., et al.
Published: (2011)
by: Mahler, R., et al.
Published: (2011)
OSPA(2): Using the OSPA metric to evaluate multi-target tracking performance
by: Beard, Michael, et al.
Published: (2017)
by: Beard, Michael, et al.
Published: (2017)
Generalized labeled multi-Bernoulli space-object tracking with joint prediction and update
by: Jones, B., et al.
Published: (2016)
by: Jones, B., et al.
Published: (2016)
Generalised labelled multi-Bernoulli forward-backward smoothing
by: Beard, M., et al.
Published: (2016)
by: Beard, M., et al.
Published: (2016)
Performance Evaluation for Large-Scale Multi-Target Tracking Algorithms
by: Beard, Michael, et al.
Published: (2018)
by: Beard, Michael, et al.
Published: (2018)
The Cardinality Balanced Multi-Target Multi-Bernoulli Filter and Its Implementations
by: Vo, Ba Tuong, et al.
Published: (2009)
by: Vo, Ba Tuong, et al.
Published: (2009)
Closed form solutions to forward-backward smoothing
by: Vo, Ba-Ngu, et al.
Published: (2012)
by: Vo, Ba-Ngu, et al.
Published: (2012)
Bayesian multi-target tracking with merged measurements using labelled random finite sets
by: Beard, M., et al.
Published: (2015)
by: Beard, M., et al.
Published: (2015)
Forward-Backward Probability Hypothesis Density Smoothing
by: Mahler, R., et al.
Published: (2012)
by: Mahler, R., et al.
Published: (2012)
Bayesian Filtering With Random Finite Set Observations
by: Vo, Ba Tuong, et al.
Published: (2008)
by: Vo, Ba Tuong, et al.
Published: (2008)
Visual Tracking in Background Subtracted Image Sequences via Multi-Bernoulli Filtering
by: Hoseinnezhad, R., et al.
Published: (2013)
by: Hoseinnezhad, R., et al.
Published: (2013)
CPHD Filtering With Unknown Clutter Rate and Detection Profile
by: Mahler, R., et al.
Published: (2011)
by: Mahler, R., et al.
Published: (2011)
Sensor management for multi-target tracking via multi-bernoulli filtering
by: Hoang, Hung, et al.
Published: (2014)
by: Hoang, Hung, et al.
Published: (2014)
Advances in probabilistic modeling: Applications of stochastic geometry
by: Adams, M., et al.
Published: (2014)
by: Adams, M., et al.
Published: (2014)
Multi-Object Tracking Using Labeled Multi-Bernoulli Random Finite Sets
by: Reuter, S., et al.
Published: (2014)
by: Reuter, S., et al.
Published: (2014)
MCMC-based posterior independence approximation for RFS multitarget particle filters
by: García-Fernández, A., et al.
Published: (2014)
by: García-Fernández, A., et al.
Published: (2014)
The Labeled Multi-Bernoulli Filter
by: Reuter, S., et al.
Published: (2014)
by: Reuter, S., et al.
Published: (2014)
Void Probabilities and Cauchy-Schwarz Divergence for Generalized Labeled Multi-Bernoulli Models
by: Beard, Michael, et al.
Published: (2017)
by: Beard, Michael, et al.
Published: (2017)
Similar Items
-
An implementation of the multi-sensor generalized labeled multi-Bernoulli filter via Gibbs sampling
by: Vo, Ba-Ngu, et al.
Published: (2017) -
Multi-Sensor Multi-Object Tracking with the Generalized Labeled Multi-Bernoulli Filter
by: Vo, Ba-Ngu, et al.
Published: (2019) -
Sensor control for multi-target tracking using Cauchy-Schwarz divergence
by: Beard, M., et al.
Published: (2015) -
Random finite set multi-target trackers: Stochastic geometry for space situational awareness
by: Vo, Ba Tuong, et al.
Published: (2015) -
A random finite set conjugate prior and application to multi-target tracking
by: Vo, Ba Tuong, et al.
Published: (2011)