Results 141 to 150 of about 480,134 (154)

Improved CPHD filtering with unknown clutter rate

Proceedings of the 10th World Congress on Intelligent Control and Automation, 2012
To accommodate the model mismatch in clutter rate, a cardinality probability hypothesis density (CPHD) filter with unknown clutter rate has been proposed by Mahler. It has proved to be a promising algorithm for multi-target tracking in complex environment. However, in Mahler's algorithm, the calculation of the number of clutters without observations is
Xuetao Zheng, Liping Song
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Unified sensor management using CPHD filters

2007 10th International Conference on Information Fusion, 2007
The PHD filter propagates a multitarget statistical first moment, the probability hypothesis density (PHD), in place of the full multitarget posterior distribution. It has been the basis of a systematic approach to multisensor, multitarget sensor management based on the posterior expected number of targets (PENT) objective function.
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The trajectory CPHD filter for spawning targets

Signal Processing, 2023
Boxiang Zhang, Wei Yi 0002, Lingjiang Kong   +2 more
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Distributed multi-sensor CPHD filter using pairwise gossiping

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016
We present a distributed cardinalized probability hypothesis density (CPHD) filter for multi-sensor multi-target tracking. Each sensor runs a single-sensor CPHD filter to compute the probability hypothesis density (PHD) function and cardinality distribution using only its own measurements and then fuses the local results by gossiping with neighboring ...
Jun Ye Yu, Mark Coates, Michael G. Rabbat   +2 more
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A Covariance-Based Superpositional CPHD Filter for Multisource DOA Tracking

IEEE Transactions on Signal Processing, 2018
Direction of arrival (DOA) estimation of multiple sources using an array of sensors is a well-known problem in signal processing. Most DOA estimation methods use second-order measurements in the form of covariance matrices obtained from consecutive snapshots of the array elements’ raw data.
Alireza Masnadi-Shirazi, Bhaskar D. Rao
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Gating for multitarget tracking with the Gaussian Mixture PHD and CPHD filters

2011 8th Workshop on Positioning, Navigation and Communication, 2011
In this paper we investigate the problem of jointly estimating a time varying number of targets and their locations from sets of noisy range measurements received at fixed sensors with known location in presence of association uncertainty. To do so we use a recent generalization of the Bayesian approach to the multitarget problem that go under the ...
Davide Macagnano, Giuseppe Abreu
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Track initialization for TOMHT using auxiliary CPHD filter

2012 IEEE Aerospace Conference, 2012
In this paper, a new track initialization method for the track-oriented multiple hypothesis tracking (TOMHT) is proposed. An auxiliary cardinalized probability hypothesis density (CPHD) filter, which is modified to estimate the distribution of the number of target-originated measurements, is proposed.
null Xin Chen, R. Tharmarasa, T. Kirubarajan, X. N. Fernando, M. Pelletier   +4 more
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Second-generation PHD/CPHD filters and multitarget calculus

SPIE Proceedings, 2009
The “classical” PHD and CPHD filters presume the standard “small-target” detection model. This year, in a series of theoretical studies, I have derived new “second-generation” CPHD/PHD filters for various sensing conditions that cannot be described by the standard model.
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CPHD Filter Birth Modeling Using the Probabilistic Admissible Region

IEEE Transactions on Aerospace and Electronic Systems, 2018
Sparse observations make single-point track initialization difficult in some multitarget tracking scenarios, including space-object tracking. A probabilistic admissible region approach combines physics- and scenario-based constraints in unobservable directions to reduce ambiguity in the initial state and allows for a birth model consistent with the ...
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Joint DOA tracking and spectral signature estimation of wideband sources using a multi-spectral TBD-CPHD filter

Signal Processing, 2023
Hamid Reza Abutalebi
exaly