Adaptive Kalman estimation in target tracking mixed with random one-step delays, stochastic-bias measurements, and missing measurements

DOI10.1155/2013/716915zbMath1417.62265OpenAlexW2038682200WikidataQ58921764 ScholiaQ58921764MaRDI QIDQ2312264

Sujuan Chen, Guoqing Qi, Yinya Li, Andong Sheng

Publication date: 5 July 2019

Published in: Discrete Dynamics in Nature and Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2013/716915

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Filtering in stochastic control theory (93E11)

Related Items (3)

An improved unscented Kalman filter for discrete nonlinear systems with random parameters ⋮ Optimal filtering for systems with finite-step autocorrelated process noises, random one-step sensor delay and missing measurements ⋮ Adaptive Kalman filtering for systems subject to randomly delayed and lost measurements

Cites Work

• Stochastic stability of the unscented Kalman filter with intermittent observations
• On the Cramér-Rao lower bound for biased bearings-only maneuvering target tracking
• Stochastic analysis and control of real-time systems with random time delays
• Recursive estimators of signals from measurements with stochastic delays using covariance information
• New design of estimators using covariance information with uncertain observations in linear discrete-time systems
• Estimation for stochastic nonlinear systems with randomly distributed time-varying delays and missing measurements
• Optimal two-stage Kalman filter in the presence of random bias
• Robust state estimation for two-dimensional stochastic time-delay systems with missing measurements and sensor saturation
• Robust H-infinity filtering for time-delay systems with missing measurements: a parameter-dependent approach
• Optimal and suboptimal separate-bias Kalman estimators for a stochastic bias
• Robust $H_{\infty}$ Filtering for Switched Stochastic System With Missing Measurements
• Variance-Constrained ${\cal H}_{\infty}$ Filtering for a Class of Nonlinear Time-Varying Systems With Multiple Missing Measurements: The Finite-Horizon Case
• Adaptive Kalman Filtering in Networked Systems With Random Sensor Delays, Multiple Packet Dropouts and Missing Measurements
• Distributed Filtering for a Class of Time-Varying Systems Over Sensor Networks With Quantization Errors and Successive Packet Dropouts
• Robust H/sub /spl infin// filtering for stochastic time-delay systems with missing measurements
• Stochastic Stability of the Extended Kalman Filter With Intermittent Observations
• Robust Filtering With Randomly Varying Sensor Delay: The Finite-Horizon Case
• Kalman Filtering With Intermittent Observations
• Kalman Filtering With Intermittent Observations: Convergence for Semi-Markov Chains and an Intrinsic Performance Measure
• Optimal Linear Filters for Discrete-Time Systems With Randomly Delayed and Lost Measurements With/Without Time Stamps
• Gaussian Smoothers for Nonlinear Systems With One-Step Randomly Delayed Measurements
• Cramer-Rao bound for nonlinear filtering with Pd>1 and its application to target tracking

This page was built for publication: Adaptive Kalman estimation in target tracking mixed with random one-step delays, stochastic-bias measurements, and missing measurements