Extended Target Tracking using a Gaussian-Mixture PHD Filter
نویسندگان
چکیده
منابع مشابه
Extended Target Tracking using a Gaussian-Mixture PHD filter
This paper presents a Gaussian-mixture implementation of the PHD filter for tracking extended targets. The exact filter requires processing of all possible measurement set partitions, which is generally infeasible to implement. A method is proposed for limiting the number of considered partitions and possible alternatives are discussed. The implementation is used on simulated data and in experi...
متن کاملExtended Target Tracking using a Gaussian-Mixture PHD filter, Report no. LiTH-ISY-R-3028
This paper presents a Gaussian-mixture implementation of the PHD lter for tracking extended targets. The exact lter requires processing of all possible measurement set partitions, which is generally infeasible to implement. A method is proposed for limiting the number of considered partitions and possible alternatives are discussed. The implementation is used on simulated data and in experiment...
متن کاملA Gaussian Mixture PHD filter for Extended Target Tracking, Report no. LiTH-ISY-R-2956
In extended target tracking, targets potentially produce more than one measurement per time step. Multiple extended targets are therefore usually hard to track, due to the resulting complex data association. The main contribution of this paper is the implementation of a Probability Hypothesis Density (phd) lter for tracking of multiple extended targets. A general modi cation of the phd lter to ...
متن کاملClutter Removal in Sonar Image Target Tracking Using PHD Filter
In this paper we have presented a new procedure for sonar image target tracking using PHD filter besides K-means algorithm in high density clutter environment. We have presented K-means as data clustering technique in this paper to estimate the location of targets. Sonar images target tracking is a very good sample of high clutter environment. As can be seen, PHD filter because of its special f...
متن کاملExtended Emitter Target Tracking Using GM-PHD Filter
If equipped with several radar emitters, a target will produce more than one measurement per time step and is denoted as an extended target. However, due to the requirement of all possible measurement set partitions, the exact probability hypothesis density filter for extended target tracking is computationally intractable. To reduce the computational burden, a fast partitioning algorithm based...
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ژورنال
عنوان ژورنال: IEEE Transactions on Aerospace and Electronic Systems
سال: 2012
ISSN: 0018-9251
DOI: 10.1109/taes.2012.6324703