Add to ORKGWe present in this paper a density-assisted particle filter (DAPF) algorithm for ballistic target tracking with unknown, fixed ballistic coefficient. The proposed algorithm uses an optimized importance function to update the particle population and then utilizes the up-dated particles and their respective importance weights to build a parametric approximation of the joint posterior probability density function (pdf) of the target state and the unknown ballistic coeffi-cient. A new set of particles is then resampled according to this approximate pdf and propagated to the next iteration of the algo-rithm. Simulation results confirm previous claims in the literature that DAPFs are viable alternatives for sequential estimation in non-linear dyn...
The trajectories of ballistic targets are determined significantly by the characteristics that are s...
This paper considers the problem of joint maneuvering target tracking and classification. Based on ...
This paper considers the problem of joint maneuvering target tracking and classification. Based on t...
We present in this paper two improved particle filter algorithms for ballistic target tracking. The ...
Abstract — Target Tracking has always been a challenging problem arising in different contexts rangi...
Abstract. The problem of tracking a reentry ballistic object by processing radar measurements is con...
The problem of tracking a reentry ballistic object by processing radar measurements is considered in...
International audienceThe deterministic Laplace method is combined with particle filtering for the s...
In order to cope with the challenges of non-cooperative targets such as stealth targets to modern ra...
Abstract—Increasingly, for many application areas, it is becoming important to include elements of n...
Abstract — Particle filtering (PF) is a popular nonlinear esti-mation technique and has been widely ...
A maximum likelihood estimation method is developed for a class of problems where the dynamics are l...
Multi-target tracking PHD filter particle filter Capturing new targets that spontaneously appear in ...
Abstract – When tracking a large number of targets, it is often computationally expensive to represe...
AbstractAn improved particle filtering (IPF) is presented to perform maneuvering target tracking in ...
The trajectories of ballistic targets are determined significantly by the characteristics that are s...
This paper considers the problem of joint maneuvering target tracking and classification. Based on ...
This paper considers the problem of joint maneuvering target tracking and classification. Based on t...
We present in this paper two improved particle filter algorithms for ballistic target tracking. The ...
Abstract — Target Tracking has always been a challenging problem arising in different contexts rangi...
Abstract. The problem of tracking a reentry ballistic object by processing radar measurements is con...
The problem of tracking a reentry ballistic object by processing radar measurements is considered in...
International audienceThe deterministic Laplace method is combined with particle filtering for the s...
In order to cope with the challenges of non-cooperative targets such as stealth targets to modern ra...
Abstract—Increasingly, for many application areas, it is becoming important to include elements of n...
Abstract — Particle filtering (PF) is a popular nonlinear esti-mation technique and has been widely ...
A maximum likelihood estimation method is developed for a class of problems where the dynamics are l...
Multi-target tracking PHD filter particle filter Capturing new targets that spontaneously appear in ...
Abstract – When tracking a large number of targets, it is often computationally expensive to represe...
AbstractAn improved particle filtering (IPF) is presented to perform maneuvering target tracking in ...
The trajectories of ballistic targets are determined significantly by the characteristics that are s...
This paper considers the problem of joint maneuvering target tracking and classification. Based on ...
This paper considers the problem of joint maneuvering target tracking and classification. Based on t...
