Fifty years of MIMO detection: The road to large-scale MIMOs
The emerging massive/large-scale multiple-input multiple-output (LS-MIMO) systems that
rely on very large antenna arrays have become a hot topic of wireless communications …
rely on very large antenna arrays have become a hot topic of wireless communications …
Multitarget Bayes filtering via first-order multitarget moments
RPS Mahler - IEEE Transactions on Aerospace and Electronic …, 2003 - ieeexplore.ieee.org
The theoretically optimal approach to multisensor-multitarget detection, tracking, and
identification is a suitable generalization of the recursive Bayes nonlinear filter. Even in …
identification is a suitable generalization of the recursive Bayes nonlinear filter. Even in …
Robust Monte Carlo localization for mobile robots
Mobile robot localization is the problem of determining a robot's pose from sensor data. This
article presents a family of probabilistic localization algorithms known as Monte Carlo …
article presents a family of probabilistic localization algorithms known as Monte Carlo …
Particle filters for positioning, navigation, and tracking
A framework for positioning, navigation, and tracking problems using particle filters
(sequential Monte Carlo methods) is developed. It consists of a class of motion models and …
(sequential Monte Carlo methods) is developed. It consists of a class of motion models and …
Gaussian filters for nonlinear filtering problems
K Ito, K **ong - IEEE transactions on automatic control, 2000 - ieeexplore.ieee.org
We develop and analyze real-time and accurate filters for nonlinear filtering problems based
on the Gaussian distributions. We present the systematic formulation of Gaussian filters and …
on the Gaussian distributions. We present the systematic formulation of Gaussian filters and …
[BOOK][B] Discrete-time Markov jump linear systems
Safety critical and high-integrity systems, such as industrial plants and economic systems
can be subject to abrupt changes-for instance due to component or interconnection failure …
can be subject to abrupt changes-for instance due to component or interconnection failure …
Interacting multiple model methods in target tracking: a survey
The Interacting Multiple Model (IMM) estimator is a suboptimal hybrid filter that has been
shown to be one of the most cost-effective hybrid state estimation schemes. The main …
shown to be one of the most cost-effective hybrid state estimation schemes. The main …