Adaptive finite-horizon group estimation for networked navigation systems with remote sensing complementary observations under mixed LOS/NLOS environments

DOI10.1155/2016/6489165zbMath1400.93298OpenAlexW2566693320WikidataQ59140891 ScholiaQ59140891MaRDI QIDQ1793458

Shuang Pan, Guorong Zhao, Jianhua Lu, Chao Gao

Publication date: 12 October 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2016/6489165

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11)

Cites Work

• A receding horizon Kalman FIR filter for discrete time-invariant systems
• Hidden Markov Models for Radio Localization in Mixed LOS/NLOS Conditions
• EM- and JMAP-ML Based Joint Estimation Algorithms for Robust Wireless Geolocation in Mixed LOS/NLOS Environments
• A Moving Horizon Approach to Networked Control System Design
• Moving Horizon State Estimation for Networked Control Systems With Multiple Packet Dropouts

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