The unscented Kalman filter (UKF) is widely used to address the nonlinear problems in
target tracking. However, this standard UKF shows unstable performance whenever the …

The trajectory estimation of a highly maneuvering target is a challenging problem and has
practical applications. The interacting multiple model (IMM) filter is a well-established …

Ballistic target interception requires high accuracy in order to achieve kinetic hit-to-kill
performance. Since the task becomes more challenging when the target performs complex …

In this work, tracking of a ballistic target on reentry using an interceptor missile is studied
where the main motive is to accurately estimate the acceleration of the incoming ballistic …

Unmanned aerial vehicles (UAVs), commonly known as drones, have the potential to enable
a wide variety of beneficial applications in areas such as monitoring and inspection of …

Актуальность работы. Оценивание траектории и параметров движения
баллистических целей является одной из задач радиолокации [1]. Целью …

This paper deals with an efficient tracking of a ballistic target by using certain measurements
from radar. An efficient non-linear model for the target along with observed error is …

In the stochastic system whose state is described by the multiple model particle filter, the true
dynamic system motion cannot be reflected precisely by the predicted measurement from …

The Interacting Multiple Model (IMM) Algorithm is widely used in multi-model systems over
the recent years. It often needs to handle nonlinearity of each mode in the framework of IMM …

This paper presents the problem of real-time tracking measurements of maneuvering target.
discusses the optimal kalman smoother, introduced smooths methods, and compared the …