Results 21 to 30 of about 35,356 (190)

Double‐state chi‐square test based sparse grid quadrature filtering algorithm and its application in integrated navigation

IET Control Theory & Applications, 2023
Aiming to reduce the impact that the measurement uncertainty of nonlinear system brings to filtering accuracy, a novel sparse grid quadrature filter (SGQF) algorithm based on the double‐state chi‐square test is proposed.
Yifei WU, Yinrui Ma, Ye Jiang
doaj   +1 more source

Stereophonic acoustic echo cancellation employing selective-tap adaptive algorithms [PDF]

, 2006
Published ...
Khong,A.W.H., Naylor,P.A.
core   +1 more source

INS/GPS Sensor Fusion based on Adaptive Fuzzy EKF with Sensitivity to Disturbances

IET Radar, Sonar & Navigation, 2021
The estimation accuracy of the inertial navigation system integrated with the global positioning system (GPS) through multiple kinds of Kalman filters (KFs) has been widely considered. Since the classical KFs could not overcome environmental disturbances
Danial Sabzevari, Abbas Chatraei
doaj   +1 more source

Cross-coupled doa trackers [PDF]

, 1997
A new robust, low complexity algorithm for multiuser tracking is proposed, modifying the two-stage parallel architecture of the estimate-maximize (EM) algorithm.
Kirlin, R L, Lagunas Hernandez, Miguel A., Pérez Neira, Ana Isabel   +2 more
core   +2 more sources

State-of-charge estimation for Lithium-Ion batteries using Kalman filters based on fractional-order models

Connection Science, 2022
The accuracy of state of charge estimation results will directly affect the performance of battery management system. Due to such, we focus in this article on the SOC estimation of Lithium-Ion batteries based on a fractional second-order RC model with ...
Likun Xing, Liuyi Ling, Bing Gong, Menglong Zhang   +3 more
doaj   +1 more source

An adaptive hybrid filter for practical WiFi-based positioning systems

ICT Express, 2015
This paper proposes an adaptive hybrid filter for WiFi-based indoor positioning systems. The hybrid filter adopts the notion of particle filters within the prediction framework of the basic Kalman filter.
Namjun Park, Sukhoon Jung, Dongsoo Han
doaj   +1 more source

Tracking moving optima using Kalman-based predictions [PDF]

, 2008
The dynamic optimization problem concerns finding an optimum in a changing environment. In the field of evolutionary algorithms, this implies dealing with a timechanging fitness landscape.
Abderrahim, Mohamed, Diaz, Julio Cesar, Rossi, Claudio   +2 more
core   +5 more sources

Robust Land-Surface Parameterisation for Repeated Topographic Surveys in Dynamic Environments with Adaptive State-Space Models

Remote Sensing
The proliferation of unmanned aerial vehicles has enabled cost-effective topographic surveys to be collected at high frequencies. However, terrain analyses rarely take advantage of the information provided by repeated observations.
Daniel R. Newman, Yuichi S. Hayakawa
doaj   +1 more source

Robust filtering for a class of stochastic uncertain nonlinear time-delay systems via exponential state estimation [PDF]

, 2001
Copyright [2001] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Burnham, KJ, Wang, Z
core   +2 more sources

Adaptive pose and inertial parameters estimation of free-floating tumbling space objects using dual vector quaternions

Advances in Mechanical Engineering, 2017
The robust parameter estimation of unknown space objects is essential to the on-orbit servicing missions. Based on the adaptive filtering techniques along with the dual quaternions modeling methods for pose estimation, this article proposes a dual vector
Xianghao Hou, Chuan Ma, Zheng Wang, Jianping Yuan   +3 more
doaj   +1 more source