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GPS Carrier-to-Noise Density Prediction Using Regression Trees
Abdollah Masoud Darya
, Khawla Alnajjar
, Muhammad Mubasshir Shaikh
, Sultan Suhail
, Yousuf Faroukh
, Saeed Abdallah
,
Ilias Fernini
, Hamid AlNaimiy
Research output
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Contribution to journal
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Conference article
›
peer-review
Overview
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Keyphrases
Bagged Regression Trees
50%
Carrier Noise
100%
Carrier Power
25%
Coefficient of Determination
25%
Decibel
25%
Density Prediction
100%
Global Positioning System
100%
Global Positioning System Receiver
50%
Hertz
25%
Mean Absolute Error
25%
Narrowband
25%
Noise Density
100%
Noise Power
25%
Power Ratio
25%
Random Codes
25%
Receiver Performance
25%
Regression Tree
100%
Regression Tree Model
25%
Root Mean Square Error
25%
Second-order Polynomial
25%
Sharjah
25%
Signal Base
25%
Signal Quality
25%
Spatial Parameters
25%
Temporal Parameters
25%
United Arab Emirates
25%
Wideband
25%
Earth and Planetary Sciences
Broadband
16%
Decibel
16%
Global Positioning System
100%
Real Time
16%
Sharjah
16%
United Arab Emirates
16%