Multitarget tracking using the joint multitarget probability density
نویسندگان
چکیده
منابع مشابه
Multitarget Tracking Using a Particle Filter Representation of the Joint Multitarget Density
This paper addresses the problem of tracking multiple moving targets by recursively estimating the joint multitarget probability density (JMPD). Estimation of the JMPD is done in a Bayesian framework and provides a method for tracking multiple targets which allows nonlinear target motion and measurement to state coupling as well as non-Gaussian target state densities. The JMPD technique simulta...
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In radar systems, tracking targets in low signal-to-noise ratio (SNR) environments is a very important task. There are some algorithms designed for multitarget tracking. Their performances, however, are not satisfactory in low SNR environments. Track-before-detect (TBD) algorithms have been developed as a class of improved methods for tracking in low SNR environments. However, multitarget TBD i...
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In several unpublished manuscripts written from 1993 to 1995, Michael Stein, C.L. Winter, and Robert Tenney introduced a multitarget tracking and evidential-accumulation concept called a "Probability Hypothesis Surface" (PHS) .A PHS is the graph of a probability distribution-the Probability Hypothesis Density (PHD)-that, when integrated over a region in target state space, gives the expected nu...
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ژورنال
عنوان ژورنال: IEEE Transactions on Aerospace and Electronic Systems
سال: 2005
ISSN: 0018-9251
DOI: 10.1109/taes.2005.1561892