Results 51 to 60 of about 35,356 (190)

Improved Cubature Kalman Filtering on Matrix Lie Groups Based on Intrinsic Numerical Integration Error Calibration with Application to Attitude Estimation

Machines, 2022
This paper investigates the numerical integration error calibration problem in Lie group sigma point filters to obtain more accurate estimation results.
Huijuan Guo, Yan Zhou, Huiying Liu, Xiaoxiang Hu   +3 more
doaj   +1 more source

An Ultra-Short Baseline Underwater Positioning System with Kalman Filtering

Sensors, 2020
The ultra-short baseline underwater positioning is one of the most widely applied methods in underwater positioning and navigation due to its simplicity, efficiency, low cost, and accuracy.
Qinghua Luo, Xiaozhen Yan, Chunyu Ju, Yunsai Chen, Zhenhua Luo   +4 more
doaj   +1 more source

Target Tracking in Non-Gaussian Environment [PDF]

, 2006
Masreliez filter which is a Kalman type of recursive filter is implemented and validated. The main computation in Masreliez filter is to evaluate the score function which directly influences the estimates of the target states.
Kashyap, SK, Shantha Kumar, N
core   +1 more source

Estimation of FBMC/OQAM Fading Channels Using Dual Kalman Filters

The Scientific World Journal, 2014
We address the problem of estimating time-varying fading channels in filter bank multicarrier (FBMC/OQAM) wireless systems based on pilot symbols. The standard solution to this problem is the least square (LS) estimator or the minimum mean square error ...
Mahmoud Aldababseh, Ali Jamoos
doaj   +1 more source

Noise Adaptive Kalman Filter for Joint Polarization Tracking and Channel Equalization Using Cascaded Covariance Matching

IEEE Photonics Journal, 2018
We propose a noise adaptive Kalman filter for joint polarization tracking and channel equalization using cascaded covariance matching. With the process noise covariance (Q) and the measurement noise covariance (R) estimated in a cascaded manner, the ...
Qun Zhang, Yanfu Yang, Qian Xiang, Qianwen He, Zhongqing Zhou, Yong Yao   +5 more
doaj   +1 more source

On dimension reduction in Gaussian filters

, 2015
A priori dimension reduction is a widely adopted technique for reducing the computational complexity of stationary inverse problems. In this setting, the solution of an inverse problem is parameterized by a low-dimensional basis that is often obtained ...
Antti Solonen, Evensen G, Fisher M, Fisher M, Golub G H, Janne Hakkarainen, Kaipio J, Karhunen K, Lorenz E N, Preisendorfer R, Rasmussen C E, Seppänen A, Sirovich L, Tiangang Cui, Youssef Marzouk   +14 more
core   +1 more source

Dynamic multidimensional sensor data acquisition with adaptive Kalman filtering [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Traditional mobile sensing systems often experience a decline in data acquisition accuracy in dynamic environments due to the use of fixed-parameter Kalman filters, which lack adaptability to changes in motion states and sensor noise.
B. Yu
doaj   +1 more source

Adaptive Kalman filter for actuator fault diagnosis [PDF]

Automatica, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Noise-Adaptive State Estimators with Change-Point Detection

Sensors
Aiming at tracking sharply maneuvering targets, this paper develops novel variational adaptive state estimators for joint target state and process noise parameter estimation for a class of linear state-space models with abruptly changing parameters.
Xiaolei Hou, Shijie Zhao, Jinjie Hu, Hua Lan   +3 more
doaj   +1 more source

Adaptive filtering for stochastic risk premia in bond market [PDF]

, 2012
We consider the adaptive filtering problem for estimating the randomly changing risk premium and its system parameters for zero-coupon bond models. The term structure model for a zero-coupon bond is formulated including the stochastic risk-premium factor.
Aihara, ShinIchi, Bagchi, Arunabha
core   +2 more sources