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Robust GNSS Positioning Using Unbiased Finite Impulse Response Filter
Jie Dou
,
Bing Xu
, Lei Dou
Department of Aeronautical and Aviation Engineering
The Hong Kong Polytechnic University
Research output
:
Journal article publication
›
Journal article
›
Academic research
›
peer-review
5
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Citations (Scopus)
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Dive into the research topics of 'Robust GNSS Positioning Using Unbiased Finite Impulse Response Filter'. Together they form a unique fingerprint.
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Keyphrases
Kalman Filter
100%
Finite Impulse Response
100%
Velocity Information
100%
Position Information
100%
GNSS Positioning
100%
Unbiased Finite Impulse Response Filter
100%
Error Analysis
50%
Least Square Method
50%
Solution Method
50%
Kalman Filter Algorithm
50%
Noise Statistics
50%
Historical Data
50%
Pseudorange
50%
Robustness to Noise
50%
Optimal Estimation
50%
Mean Error
50%
Iterative Approach
50%
Rate Measurement
50%
User Position
50%
Least Square Algorithm
50%
Noise Uncertainty
50%
GNSS Receiver
50%
Response Framework
50%
Model Statistics
50%
Carrier Tracking Loop
50%
Current Observations
50%
Pseudorange Rate
50%
Code Tracking Loop
50%
Least Square Filter
50%
User Velocity
50%
Engineering
Kalman Filter
100%
Least Square
100%
Finite Impulse Response Filter
100%
Pseudorange
66%
Finite Impulse Response
66%
Observed Data
33%
Square Method
33%
Tracking Loop
33%
Solution Velocity
33%
Solution Method
33%
Field Test
33%
Historical Data
33%
Optimality
33%