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Secure wireless communications based on compressive sensing: A survey
Compressive sensing (CS) has become a popular signal processing technique and has
extensive applications in numerous fields such as wireless communications, image …
extensive applications in numerous fields such as wireless communications, image …
Survey on signal processing for GNSS under ionospheric scintillation: Detection, monitoring, and mitigation
Ionospheric scintillation is the physical phenomena affecting radio waves coming from the
space through the ionosphere. Such disturbance is caused by ionospheric electron-density …
space through the ionosphere. Such disturbance is caused by ionospheric electron-density …
Cognitive sensing and navigation with unknown OFDM signals with application to terrestrial 5G and Starlink LEO satellites
A receiver architecture for cognitive sensing and navigation with orthogonal frequency
division multiplexing (OFDM)-based systems is proposed. The proposed receiver enables …
division multiplexing (OFDM)-based systems is proposed. The proposed receiver enables …
Carrier phase-based synchronization and high-accuracy positioning in 5G new radio cellular networks
Inspired by excellent precision of carrier phase positioning, this paper presents a new carrier
phase positioning technique for 5G new radio cellular networks with a focus on clock …
phase positioning technique for 5G new radio cellular networks with a focus on clock …
Are PLLs dead? A tutorial on Kalman filter-based techniques for digital carrier synchronization
Carrier synchronization is a fundamental stage in the receiver side of any communication or
positioning system. Traditional carrier phase tracking techniques are based on well-known …
positioning system. Traditional carrier phase tracking techniques are based on well-known …
Generalized GNSS signal carrier tracking: Part I—Modeling and analysis
This paper presents a generalized theoretical framework for carrier tracking of global
navigation satellite systems signals by constructing a state space representation for the …
navigation satellite systems signals by constructing a state space representation for the …
Multiple model Kalman and Particle filters and applications: A survey
Kalman Filters (KF) is a recursive estimation algorithm, a special case of Bayesian
estimators under Gaussian, linear and quadratic conditions. For non-linear systems …
estimators under Gaussian, linear and quadratic conditions. For non-linear systems …
Space-ground coherent optical links: Ground receiver performance with adaptive optics and digital phase-locked loop
In the framework of high-data-rate free-space optical low Earth orbit satellite-to-ground
communication, we investigate, by means of a refined end-to-end numerical model of the …
communication, we investigate, by means of a refined end-to-end numerical model of the …
A carrier tracking loop using adaptive strong tracking Kalman filter in GNSS receivers
Y Cheng, Q Chang - IEEE Communications Letters, 2020 - ieeexplore.ieee.org
The Kalman filter (KF) has been widely used in the carrier track to improve the tracking
performance of receivers under challenging environments. The KF-based tracking assumes …
performance of receivers under challenging environments. The KF-based tracking assumes …
Kalman Filter with Adaptive Covariance Estimation for Carrier tracking under weak signals and dynamic conditions
Y Cheng, S Zhang, X Wang, H Wang, H Yang - Electronics, 2024 - mdpi.com
Kalman filtering (KF)-based tracking has been commonly employed in global navigation
satellite system (GNSS) receivers to achieve robust tracking. However, under more serious …
satellite system (GNSS) receivers to achieve robust tracking. However, under more serious …