Enhancing and Generalizing Position-Velocity Tracking in Imperfect <italic>mm</italic>Wave Systems Using a Low-Complexity Neural Network

Enhancing and Generalizing Position-Velocity Tracking in Imperfect <italic>mm</italic>Wave Systems Using a Low-Complexity Neural Network

This work aims to enhance and generalize the joint position-velocity tracking process in millimeter wave (mmWave) systems that suffer from hardware impairments (HWIs), all while considering computational complexity. Initially, we investigate the performance of two widely used traditional trackers: t...

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Bibliographic Details
Main Authors: Deeb Assad Tubail, Mohammed Zourob, Salama Ikki
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Tracking
Kalman
neural network
Fisher information matrix
Bayesian
Cramer-Rao bound
Online Access:https://ieeexplore.ieee.org/document/10812951/

Internet

https://ieeexplore.ieee.org/document/10812951/

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