Analytical and Simulation-Based Comparison Between Traditional and Kalman Filter-Based Phase-Locked-Loops

Faculty Engineering Year: 2016
Type of Publication: ZU Hosted Pages:
Authors:
Journal: Springer GPS Solutions Springer GPS Solutions Volume:
Keywords : Analytical , Simulation-Based Comparison Between Traditional , Kalman    
Abstract:
Analytical and Simulation-Based Comparison Between Traditional and Kalman Filter-Based Phase-Locked-Loops
   
     
 
       

Author Related Publications

  • Nesreen Ibrahim Ziedan, "Multi-Constellation Fast Acquisition Through Utilization of Orbit Predictions and Positioning Data", ION GNSS, 2015 More
  • Nesreen Ibrahim Ziedan, "NAVSDR: A GPU-based Modular GPS Software Receiver,", ION GNSS, 2015 More
  • Nesreen Ibrahim Ziedan, "Weak GPS Signal Tracking using FFT Discriminator in Open Loop Receiver", Springer GPS Solutions, 2014 More
  • Nesreen Ibrahim Ziedan, "Investigating and Utilizing the Limitations of Spoofing in a Map-Matching Anti-Spoofing Algorithm", ION GNSS, 2014 More
  • Nesreen Ibrahim Ziedan, "Context-Aware Adaptive Multipath Compensation Based on Channel Pattern Recognition for GNSS Receivers", Journal of Navigation, 2017 More

Department Related Publications

  • Mohammed Alsayed MohamedAli, "Two Layer Hybrid Scheme of IMO and PSO for Optimization of Local Aligner: COVID-19 as a Case Study", Springer, 2021 More
  • Ahmed Mohamed Helmy Elsadiek, "Two Layer Hybrid Scheme of IMO and PSO for Optimization of Local Aligner: COVID-19 as a Case Study", Springer, 2021 More
  • Ahmed Mohamed Helmy Elsadiek, "A Novel Hybrid Gradient-Based Optimizer and Grey Wolf Optimizer Feature Selection Method for Human Activity Recognition Using Smartphone Sensors", Multidisciplinary Digital Publishing Institute, 2021 More
  • Ibrahiem Elsayed Mohamed Zedan, "An Efficient Convolutional Neural Network Classification Model for Several Sign Language Alphabets", (The Science and Information Organization (SAI, 2023 More
  • Amro Ahmed Ismail Morsy , "An Efficient Convolutional Neural Network Classification Model for Several Sign Language Alphabets", (The Science and Information Organization (SAI, 2023 More
Tweet