Results 151 to 160 of about 355 (164)

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
openaire   +1 more source

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
openaire   +1 more source

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
openaire   +1 more source

CPHD filters with unknown quadratic clutter generators

SPIE Proceedings, 2015
Previous research has produced CPHD filters that can detect and track multiple targets in unknown, dynamically changing clutter. The .first such filters employed Poisson clutter generators and, as a result, were combinatorially complex. Recent research has shown that replacing the Poisson clutter generators with Bernoulli clutter generators results in ...
openaire   +1 more source

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.
openaire   +1 more source

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 ...
openaire   +1 more source

Joint DOA tracking and spectral signature estimation of wideband sources using a multi-spectral TBD-CPHD filter

Signal Processing, 2023
Hamid Reza Abutalebi
exaly  

A CPHD Filter Based on EM Star-Convex Random Hypersurface Model for Multiple Extended Targets

2022
Jinping Sun
exaly  

A Multi-Sensor Multi-Target Tracker Based on Labeled MS-CPHD Filter

2021
Zhiguo Zhang, Jinping Sun
exaly  

The Multiple Model CPHD Tracker

IEEE Transactions on Signal Processing, 2012
Ramona Georgescu, Peter Willett
exaly