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Publications by Pengsong Zhang
Improved Pedestrian Dead Reckoning Based on a Robust Adaptive Kalman Filter for Indoor Inertial Location System
Sensors
Instrumentation
Information Systems
Electronic Engineering
Biochemistry
Analytical Chemistry
Molecular Physics,
Electrical
Atomic
Medicine
Optics
Related publications
A Pedestrian Dead Reckoning System Integrating Low - Cost MEMS Inertial Sensors and GPS Receiver
Journal of Engineering Science and Technology Review
Engineering
Combining a Modified Particle Filter Method and Indoor Magnetic Fingerprint Map to Assist Pedestrian Dead Reckoning for Indoor Positioning and Navigation
Sensors
Instrumentation
Information Systems
Electronic Engineering
Biochemistry
Analytical Chemistry
Molecular Physics,
Electrical
Atomic
Medicine
Optics
A Domain Independent Pedestrian Dead Reckoning System Solution for Android Smartphones
An Improved WiFi/PDR Integrated System Using an Adaptive and Robust Filter for Indoor Localization
ISPRS International Journal of Geo-Information
Development
Planetary Sciences
Computers in Earth Sciences
Planning
Earth
Geography
An Improved Tracking Model Based on Self-Adaptive Kalman Filter
A Novel Robust Student's T-Based Kalman Filter
IEEE Transactions on Aerospace and Electronic Systems
Electronic Engineering
Electrical
Aerospace Engineering
An Autonomous Waist - Mounted Pedestrian Dead Reckoning System by Coupling Low - Cost MEMS Inertial Sensors and GPS Receiver for 3D Urban Navigation
Journal of Engineering Science and Technology Review
Engineering
Integrated WiFi/PDR/Smartphone Using an Adaptive System Noise Extended Kalman Filter Algorithm for Indoor Localization
ISPRS International Journal of Geo-Information
Development
Planetary Sciences
Computers in Earth Sciences
Planning
Earth
Geography
Robot Indoor Location Modeling and Simulation Based on Kalman Filtering
Eurasip Journal on Wireless Communications and Networking
Computer Networks
Computer Science Applications
Signal Processing
Communications