Weak targetʼs range migration often happens for long time integration in radar detection. To
compensate for linear range migration and detect weak targets effectively, a novel coherent …

Causality has been a subject of study for a long time. Often causality is confused with
correlation. Human intuition has evolved such that it has learned to identify causality through …

A manoeuvring target tracking algorithm based on the autoregressive (AR) model is
proposed. First, the AR model is incorporated into the Kalman filter (KF) for target tracking …

Bayesian inference often requires efficient numerical approximation algorithms, such as
sequential Monte Carlo (SMC) and Markov chain Monte Carlo (MCMC) methods. The Gibbs …

This paper gives the survey of the existing developments of Visual object target tracking
using particle filter from the last decade and discusses the advantage and disadvantages of …

As a commonly used filtering method for nonlinear non-Gaussian systems, particle filters
(PFs) have been successfully applied in the field of maneuvering target tracking. However …

In this paper, a target-tracking algorithm based on improved unscented particle filter with the
Markov chain Monte Carlo (MCMC) is proposed. In the proposed method, the improved …

Multitarget tracking (MTT) refers to estimating the state and the number of an unknown
number of targets using scans of noisy measurements from one or more sensors in the …

In this paper, we provide a tutorial for the applications of “game-theory-based extended H
infinity filtering (EHIF)” approach to various problems in disciplines of signal processing. The …

In this paper, a novel bearings-only maneuvering target tracking algorithm based on
truncated quadrature Kalman filtering (TQKF) is proposed. In the proposed method, when …